Referenced by ⇅
Year
bastah : Big Data Statistical Analysis for High-Dimensional Models (Version 1.0.7)
2016
CausalKinetiX : Learning Stable Structures in Kinetic Systems (Version 0.2.1)
2019
DriveML : Self-Drive Machine Learning Projects (Version 0.1.5)
2020
ensModelVis : Visualisations for Model Ensembles (Version 0.1.0)
2022
EstHer : Estimation of Heritability in High Dimensional Sparse Linear
Mixed Models using Variable Selection (Version 1.0)
2015
gren : Adaptive Group-Regularized Logistic Elastic Net Regression (Version 0.0.1)
2018
healthcareai : Tools for Healthcare Machine Learning (Version 2.5.1)
2017
HiCfeat : Multiple Logistic Regression for 3D Chromatin Domain Border
Analysis (Version 1.4)
2015
hit : Hierarchical Inference Testing (Version 0.4.0)
2015
hybridEnsemble : Build, Deploy and Evaluate Hybrid Ensembles (Version 1.7.9)
2013
IFAA : Robust Inference for Absolute Abundance in Microbiome Analysis (Version 1.1.2)
2020
LinearDetect : Change Point Detection in High-Dimensional Linear Regression
Models (Version 0.1.5)
2021
modelplotr : Plots to Evaluate the Business Performance of Predictive Models (Version 1.1.0)
2019
MWRidge : Two Stage Moving-Window Ridge Method for Prediction and
Estimation (Version 1.0.0)
2016
qut : Quantile Universal Threshold (Version 2.2)
2015
RAEN : Random Approximate Elastic Net (RAEN) Variable Selection Method (Version 0.2)
2021
RCPmod : Regions of Common Profiles Modelling with Mixtures-of-Experts (Version 2.192)
2013
SPOT : Sequential Parameter Optimization Toolbox (Version 2.11.14)
2010
treemisc : Data Sets and Functions to Accompany "Tree-Based Methods for
Statistical Learning in R" (Version 0.0.1)
2022
concrete : Continuous-Time Competing Risks Estimation using Targeted
Minimum Loss-Based Estimation (TMLE) (Version 1.0.5)
2023
armada : A Statistical Methodology to Select Covariates in High-Dimensional Data under Dependence (Version 0.1.0)
2019
FastRet : Retention Time Prediction in Liquid Chromatography (Version 1.1.3)
2024
NADIA : NA Data Imputation Algorithms (Version 0.4.2)
2020
netcox : Structural Learning in Cox Models with Time-Dependent Covariates (Version 1.0.1)
2023
BOSO : Bilevel Optimization Selector Operator (Version 1.0.4)
2021
LDLcalc : Calculate and Predict the Low Density Lipoprotein Values (Version 2.1)
2021
dfr : Dual Feature Reduction for SGL (Version 0.1.0)
2024
sgs : Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control (Version 0.3.0)
2023
BBSSL : Bayesian Bootstrap Spike-and-Slab LASSO (Version 0.1.0)
2021
EBglmnet : Empirical Bayesian Lasso and Elastic Net Methods for Generalized Linear Models (Version 6.0)
2014
WpProj : Linear p-Wasserstein Projections (Version 0.2.1)
2024
pulsar : Parallel Utilities for Lambda Selection along a Regularization Path (Version 0.3.11)
2016
purgeR : Inbreeding-Purging Estimation in Pedigreed Populations (Version 1.8.2)
2021
qeML : Quick and Easy Machine Learning Tools (Version 1.1)
2023
AHM : Additive Heredity Model: Method for the Mixture-of-Mixtures Experiments (Version 1.0.1)
2019
ARGOS : Automatic Regression for Governing Equations (ARGOS) (Version 0.1.1)
2023
ARTtransfer : Adaptive and Robust Pipeline for Transfer Learning (Version 1.0.0)
2024
AnchorRegression : Perform AnchorRegression (Version 0.1.3)
2020
ArCo : Artificial Counterfactual Package (Version 0.3-1)
2017
BAGofT : A Binary Regression Adaptive Goodness-of-Fit Test (BAGofT) (Version 1.0.0)
2019
BNrich : Pathway Enrichment Analysis Based on Bayesian Network (Version 0.1.1)
2020
BOSSreg : Best Orthogonalized Subset Selection (BOSS) (Version 0.2.0)
2019
BSPBSS : Bayesian Spatial Blind Source Separation (Version 1.0.5)
2022
BWGS : BreedWheat Genomic Selection Pipeline (Version 0.2.1)
2020
BeSS : Best Subset Selection in Linear, Logistic and CoxPH Models (Version 2.0.4)
2017
BioMark : Find Biomarkers in Two-Class Discrimination Problems (Version 0.4.5)
2011
BiodiversityR : Package for Community Ecology and Suitability Analysis (Version 2.16-1)
2007
BlockMissingData : Integrating Multi-Source Block-Wise Missing Data in Model Selection (Version 0.1.0)
2023
BrainCon : Inference the Partial Correlations Based on Time Series Data (Version 0.3.0)
2021
CARBayes : Spatial Generalised Linear Mixed Models for Areal Unit Data (Version 6.1.1)
2012
CBPS : Covariate Balancing Propensity Score (Version 0.23)
2012
CERFIT : Causal Effect Random Forest of Interaction Tress (Version 0.1.0)
2022
CICI : Causal Inference with Continuous (Multiple Time Point) Interventions (Version 0.9.3)
2023
CIpostSelect : Confidence Interval Post-Selection of Variable (Version 0.2.1)
2024
CRE : Interpretable Discovery and Inference of Heterogeneous Treatment Effects (Version 0.2.7)
2022
CSCNet : Fitting and Tuning Regularized Cause-Specific Cox Models with Elastic-Net Penalty (Version 0.1.2)
2022
CausalMetaR : Causally Interpretable Meta-Analysis (Version 0.1.2)
2024
CenBAR : Broken Adaptive Ridge AFT Model with Censored Data (Version 0.1.1)
2020
ComICS : Computational Methods for Immune Cell-Type Subsets (Version 1.0.4)
2015
CompMix : A Comprehensive Toolkit for Environmental Mixtures Analysis ('CompMix') (Version 0.1.0)
2024
CompareCausalNetworks : Interface to Diverse Estimation Methods of Causal Networks (Version 0.2.6.2)
2015
Compositional : Compositional Data Analysis (Version 7.1)
2016
CondCopulas : Estimation and Inference for Conditional Copula Models (Version 0.1.4.1)
2022
ConformalSmallest : Efficient Tuning-Free Conformal Prediction (Version 1.0)
2021
ConnectednessApproach : Connectedness Approach (Version 1.0.3)
2022
Coxmos : Cox MultiBlock Survival (Version 1.0.2)
2024
DDL : Doubly Debiased Lasso (DDL) (Version 1.0.2)
2022
DEET : Differential Expression Enrichment Tool (Version 1.0.12)
2022
DLL : Decorrelated Local Linear Estimator (Version 1.0.0)
2022
DMRnet : Delete or Merge Regressors Algorithms for Linear and Logistic Model Selection and High-Dimensional Data (Version 0.4.0)
2017
DMTL : Tools for Applying Distribution Mapping Based Transfer Learning (Version 0.1.2)
2021
DTRlearn2 : Statistical Learning Methods for Optimizing Dynamic Treatment Regimes (Version 1.1)
2019
DWLasso : Degree Weighted Lasso (Version 1.1)
2017
DebiasInfer : Efficient Inference on High-Dimensional Linear Model with Missing Outcomes (Version 0.2)
2023
DeepLearningCausal : Causal Inference with Super Learner and Deep Neural Networks (Version 0.0.104)
2024
DevTreatRules : Develop Treatment Rules with Observational Data (Version 1.1.0)
2019
DirectEffects : Estimating Controlled Direct Effects for Explaining Causal Findings (Version 0.3)
2018
DoubleML : Double Machine Learning in R (Version 1.0.1)
2020
EHR : Electronic Health Record (EHR) Data Processing and Analysis Tool (Version 0.4-11)
2017
EMJMCMC : Evolutionary Mode Jumping Markov Chain Monte Carlo Expert Toolbox (Version 1.5.0)
2024
ENMeval : Automated Tuning and Evaluations of Ecological Niche Models (Version 2.0.4)
2014
ER : Effect + Residual Modelling (Version 1.1.1)
2020
EZtune : Tunes AdaBoost, Elastic Net, Support Vector Machines, and Gradient Boosting Machines (Version 3.1.1)
2018
EnsembleBase : Extensible Package for Parallel, Batch Training of Base Learners for Ensemble Modeling (Version 1.0.2)
2014
EnsemblePenReg : Extensible Classes and Methods for Penalized-Regression-Based Integration of Base Learners (Version 0.7)
2014
FADA : Variable Selection for Supervised Classification in High Dimension (Version 1.3.5)
2014
FGLMtrunc : Truncated Functional Generalized Linear Models (Version 0.1.0)
2022
FLAME : Interpretable Matching for Causal Inference (Version 2.1.1)
2018
FLORAL : Fit Log-Ratio Lasso Regression for Compositional Data (Version 0.3.0)
2023
FRESA.CAD : Feature Selection Algorithms for Computer Aided Diagnosis (Version 3.4.8)
2014
FeatureHashing : Creates a Model Matrix via Feature Hashing with a Formula Interface (Version 0.9.2)
2014
FindIt : Finding Heterogeneous Treatment Effects (Version 1.2.0)
2012
FunctanSNP : Functional Analysis (with Interactions) for Dense SNP Data (Version 0.1.0)
2022
GEInfo : Gene-Environment Interaction Analysis Incorporating Prior Information (Version 1.0)
2022
GMDH2 : Binary Classification via GMDH-Type Neural Network Algorithms (Version 1.8)
2018
GMSimpute : Generalized Mass Spectrum Missing Peaks Abundance Imputation (Version 0.0.1.0)
2019
GRSxE : Testing Gene-Environment Interactions Through Genetic Risk Scores (Version 1.0.1)
2022
GWASinlps : Non-Local Prior Based Iterative Variable Selection Tool for Genome-Wide Association Studies (Version 2.3)
2017
GWLelast : Geographically Weighted Logistic Elastic Net Regression (Version 1.2.2)
2015
GWRLASSO : A Hybrid Model for Spatial Prediction Through Local Regression (Version 0.1.0)
2023
GenericML : Generic Machine Learning Inference (Version 0.2.2)
2021
GlarmaVarSel : Variable Selection in Sparse GLARMA Models (Version 1.0)
2021
Grace : Graph-Constrained Estimation and Hypothesis Tests (Version 0.5.3)
2015
HCTR : Higher Criticism Tuned Regression (Version 0.1.1)
2019
HDCI : High Dimensional Confidence Interval Based on Lasso and Bootstrap (Version 1.0-2)
2017
HIMA : High-Dimensional Mediation Analysis (Version 2.3.0)
2017
HMC : High Dimensional Mean Comparison with Projection and Cross-Fitting (Version 1.1)
2024
HSDiC : Homogeneity and Sparsity Detection Incorporating Prior Constraint Information (Version 0.1)
2018
HTLR : Bayesian Logistic Regression with Heavy-Tailed Priors (Version 0.4-4)
2019
HTRX : Haplotype Trend Regression with eXtra Flexibility (HTRX) (Version 1.2.4)
2022
ICBioMark : Data-Driven Design of Targeted Gene Panels for Estimating Immunotherapy Biomarkers (Version 0.1.4)
2021
IRCcheck : Irrepresentable Condition Check (Version 1.0.0)
2021
InvariantCausalPrediction : Invariant Causal Prediction (Version 0.8)
2014
IsingFit : Fitting Ising Models Using the ELasso Method (Version 0.4)
2014
KLexp : Kernel_lasso Expansion (Version 1.0.0)
2021
KnockoffHybrid : Hybrid Analysis of Population and Trio Data with Knockoff Statistics for FDR Control (Version 1.0.1)
2023
LEGIT : Latent Environmental & Genetic InTeraction (LEGIT) Model (Version 1.4.1)
2017
LKT : Logistic Knowledge Tracing (Version 1.7.0)
2021
LPRelevance : Relevance-Integrated Statistical Inference Engine (Version 3.3)
2019
LSAmitR : Daten, Beispiele und Funktionen zu 'Large-Scale Assessment mit R' (Version 1.0-3)
2016
LUCIDus : LUCID with Multiple Omics Data (Version 3.0.3)
2018
LassoSIR : Sparsed Sliced Inverse Regression via Lasso (Version 0.1.1)
2017
Lavash : Lava Estimation for the Sum of Sparse and Dense Signals (Version 1.0)
2018
MESS : Miscellaneous Esoteric Statistical Scripts (Version 0.5.12)
2012
MNS : Mixed Neighbourhood Selection (Version 1.0)
2015
MRFA : Fitting and Predicting Large-Scale Nonlinear Regression Problems using Multi-Resolution Functional ANOVA (MRFA) Approach (Version 0.6)
2017
MRFcov : Markov Random Fields with Additional Covariates (Version 1.0.39)
2018
MRZero : Diet Mendelian Randomization (Version 0.2.0)
2023
MSclassifR : Automated Classification of Mass Spectra (Version 0.3.3)
2022
MTE : Maximum Tangent Likelihood Estimation for Robust Linear Regression and Variable Selection (Version 1.2)
2017
MTPS : Multi-Task Prediction using Stacking Algorithms (Version 1.0.2)
2020
MUVR2 : Multivariate Methods with Unbiased Variable Selection (Version 0.1.0)
2024
MachineShop : Machine Learning Models and Tools (Version 3.8.0)
2018
MatchIt : Nonparametric Preprocessing for Parametric Causal Inference (Version 4.5.5)
2005
MaximinInfer : Inference for Maximin Effects in High-Dimensional Settings (Version 2.0.0)
2021
MendelianRandomization : Mendelian Randomization Package (Version 0.10.0)
2016
MetGen : Stochastic Weather Generator (Version 0.5)
2020
MetaNLP : Natural Language Processing for Meta Analysis (Version 0.1.3)
2024
MetabolicSurv : A Biomarker Validation Approach for Classification and Predicting Survival Using Metabolomics Signature (Version 1.1.2)
2019
MicrobiomeSurv : Biomarker Validation for Microbiome-Based Survival Classification and Prediction (Version 0.1.0)
2023
MissCP : Change Point Detection with Missing Values (Version 0.1.0)
2023
MultiGlarmaVarSel : Variable Selection in Sparse Multivariate GLARMA Models (Version 1.0)
2022
MultiVarSel : Variable Selection in a Multivariate Linear Model (Version 1.1.3)
2017
NBtsVarSel : Variable Selection in a Specific Regression Time Series of Counts (Version 1.0)
2023
NCutYX : Clustering of Omics Data of Multiple Types with a Multilayer Network Representation (Version 0.1.0)
2018
NonProbEst : Estimation in Nonprobability Sampling (Version 0.2.4)
2019
OHPL : Ordered Homogeneity Pursuit Lasso for Group Variable Selection (Version 1.4.1)
2017
OOS : Out-of-Sample Time Series Forecasting (Version 1.0.0)
2021
OpenSpecy : Analyze, Process, Identify, and Share Raman and (FT)IR Spectra (Version 1.4.0)
2021
PAS : Polygenic Analysis System (PAS) (Version 1.2.5)
2012
PCGII : Partial Correlation Graph with Information Incorporation (Version 1.1.2)
2024
PDN : Personalized Disease Network (Version 0.1.0)
2017
PFLR : Estimating Penalized Functional Linear Regression (Version 1.1.0)
2024
PMAPscore : Identify Prognosis-Related Pathways Altered by Somatic Mutation (Version 0.1.1)
2022
PPLasso : Prognostic Predictive Lasso for Biomarker Selection (Version 2.0)
2022
PRISM.forecast : Penalized Regression with Inferred Seasonality Module - Forecasting Unemployment Initial Claims using 'Google Trends' Data (Version 0.2.1)
2018
PRSPGx : Construct PGx PRS (Version 0.3.0)
2021
Patterns : Deciphering Biological Networks with Patterned Heterogeneous Measurements (Version 1.5)
2019
PheCAP : High-Throughput Phenotyping with EHR using a Common Automated Pipeline (Version 1.2.1)
2020
PheVis : Automatic Phenotyping of Electronic Health Record at Visit Resolution (Version 1.0.4)
2021
PhylogeneticEM : Automatic Shift Detection using a Phylogenetic EM (Version 1.7.0)
2017
ProSGPV : Penalized Regression with Second-Generation P-Values (Version 1.0.0)
2021
QTL.gCIMapping.GUI : QTL Genome-Wide Composite Interval Mapping with Graphical User Interface (Version 2.1.1)
2018
QTL.gCIMapping : QTL Genome-Wide Composite Interval Mapping (Version 3.4)
2018
Qval : The Q-Matrix Validation Methods Framework (Version 1.0.0)
2024
REN : Regularization Ensemble for Robust Portfolio Optimization (Version 0.1.0)
2024
RISCA : Causal Inference and Prediction in Cohort-Based Analyses (Version 1.0.5)
2019
RNAseqNet : Log-Linear Poisson Graphical Model with Hot-Deck Multiple Imputation (Version 0.1.5)
2017
ROCSI : Receiver Operating Characteristic Based Signature Identification (Version 0.1.0)
2022
RPtests : Goodness of Fit Tests for High-Dimensional Linear Regression Models (Version 0.1.5)
2016
RSDA : R to Symbolic Data Analysis (Version 3.2.1)
2013
RTextTools : Automatic Text Classification via Supervised Learning (Version 1.4.3)
2011
RaSEn : Random Subspace Ensemble Classification and Variable Screening (Version 3.0.0)
2020
RegrCoeffsExplorer : Efficient Visualization of Regression Coefficients for lm(), glm(), and glmnet() Objects (Version 1.1.0)
0
Rforestry : Random Forests, Linear Trees, and Gradient Boosting for Inference and Interpretability (Version 0.10.0)
2021
Ricrt : Randomization Inference of Clustered Randomized Trials (Version 0.1.0)
2023
RobMixReg : Robust Mixture Regression (Version 1.1.0)
2020
RobustIV : Robust Instrumental Variable Methods in Linear Models (Version 0.2.5)
2022
RobustPrediction : Robust Tuning and Training for Cross-Source Prediction (Version 0.1.4)
0
Robyn : Semi-Automated Marketing Mix Modeling (MMM) from Meta Marketing Science (Version 3.11.1)
2022
SAVER : Single-Cell RNA-Seq Gene Expression Recovery (Version 1.1.2)
2018
SBICgraph : Structural Bayesian Information Criterion for Graphical Models (Version 1.0.0)
2021
SEMgraph : Network Analysis and Causal Inference Through Structural Equation Modeling (Version 1.2.2)
2021
SIHR : Statistical Inference in High Dimensional Regression (Version 2.1.0)
2021
SILFS : Subgroup Identification with Latent Factor Structure (Version 0.1.0)
2024
SILM : Simultaneous Inference for Linear Models (Version 1.0.0)
2019
SIMMS : Subnetwork Integration for Multi-Modal Signatures (Version 1.3.2)
2013
SIS : Sure Independence Screening (Version 0.8-8)
2009
SISIR : Select Intervals Suited for Functional Regression (Version 0.2.3)
2016
SLBDD : Statistical Learning for Big Dependent Data (Version 0.0.4)
2021
SLOPE : Sorted L1 Penalized Estimation (Version 0.5.1)
2015
SMLE : Joint Feature Screening via Sparse MLE (Version 2.1-1)
2020
SOIL : Sparsity Oriented Importance Learning (Version 1.1)
2016
SPSP : Selection by Partitioning the Solution Paths (Version 0.2.0)
2021
STGS : Genomic Selection using Single Trait (Version 0.1.0)
2019
STOPES : Selection Threshold Optimized Empirically via Splitting (Version 0.2)
2019
STPGA : Selection of Training Populations by Genetic Algorithm (Version 5.2.1)
2014
SelectBoost : A General Algorithm to Enhance the Performance of Variable Selection Methods in Correlated Datasets (Version 2.2.2)
2019
SentimentAnalysis : Dictionary-Based Sentiment Analysis (Version 1.3-5)
2017
Sieve : Nonparametric Estimation by the Method of Sieves (Version 2.1)
2022
SoftBart : Implements the SoftBart Algorithm (Version 1.0.1)
2022
SpTe2M : Nonparametric Modeling and Monitoring of Spatio-Temporal Data (Version 1.0.3)
2022
SplitKnockoff : Split Knockoffs for Structural Sparsity (Version 2.1)
2021
SplitReg : Split Regularized Regression (Version 1.0.2)
2019
StabilizedRegression : Stabilizing Regression and Variable Selection (Version 1.1)
2020
StratifiedMedicine : Stratified Medicine (Version 1.0.5)
2019
SuRF.vs : Subsampling Ranking Forward Selection (SuRF) (Version 1.1.0.1)
2022
SubgrpID : Patient Subgroup Identification for Clinical Drug Development (Version 0.12)
2017
SuperLearner : Super Learner Prediction (Version 2.0-29)
2011
SurvHiDim : High Dimensional Survival Data Analysis (Version 0.1.1)
2021
TANDEM : A Two-Stage Approach to Maximize Interpretability of Drug Response Models Based on Multiple Molecular Data Types (Version 1.0.3)
2016
TOSI : Two-Directional Simultaneous Inference for High-Dimensional Models (Version 0.3.0)
2023
TRexSelector : T-Rex Selector: High-Dimensional Variable Selection & FDR Control (Version 1.0.0)
2022
TSGSIS : Two Stage-Grouped Sure Independence Screening (Version 0.1)
2017
TULIP : A Toolbox for Linear Discriminant Analysis with Penalties (Version 1.0.2)
2019
TensorTest2D : Fitting Second-Order Tensor Data (Version 1.1.2)
2020
TextForecast : Regression Analysis and Forecasting Using Textual Data from a Time-Varying Dictionary (Version 0.1.3)
2019
TraceAssist : Nonparametric Trace Regression via Sign Series Representation (Version 0.1.0)
2021
UBayFS : A User-Guided Bayesian Framework for Ensemble Feature Selection (Version 1.0)
2023
VSOLassoBag : Variable Selection Oriented LASSO Bagging Algorithm (Version 0.99.1)
2022
WLogit : Variable Selection in High-Dimensional Logistic Regression Models using a Whitening Approach (Version 2.1)
2022
WeightedROC : Fast, Weighted ROC Curves (Version 2020.1.31)
2017
ZVCV : Zero-Variance Control Variates (Version 2.1.2)
2019
adapt4pv : Adaptive Approaches for Signal Detection in Pharmacovigilance (Version 0.2-3)
2020
adaptMT : Adaptive P-Value Thresholding for Multiple Hypothesis Testing with Side Information (Version 1.0.0)
2018
afthd : Accelerated Failure Time for High Dimensional Data with MCMC (Version 1.1.0)
2021
aglm : Accurate Generalized Linear Model (Version 0.4.0)
2021
aloom : All Leave-One-Out Models (Version 0.1.1)
2023
alookr : Model Classifier for Binary Classification (Version 0.3.9)
2020
amp : Statistical Test for the Multivariate Point Null Hypotheses (Version 1.0.0)
2022
anoint : Analysis of Interactions (Version 1.5)
2012
aorsf : Accelerated Oblique Random Forests (Version 0.1.5)
2022
argo : Accurate Estimation of Influenza Epidemics using Google Search Data (Version 3.0.2)
2019
arulesCBA : Classification Based on Association Rules (Version 1.2.7)
2016
autostats : Auto Stats (Version 0.4.1)
2021
bamlss : Bayesian Additive Models for Location, Scale, and Shape (and Beyond) (Version 1.2-5)
2017
bapred : Batch Effect Removal and Addon Normalization (in Phenotype Prediction using Gene Data) (Version 1.1)
2015
bbknnR : Perform Batch Balanced KNN in R (Version 1.1.1)
2022
bbl : Boltzmann Bayes Learner (Version 1.0.0)
2019
bcaboot : Bias Corrected Bootstrap Confidence Intervals (Version 0.2-3)
2018
bestglm : Best Subset GLM and Regression Utilities (Version 0.37.3)
2009
bgsmtr : Bayesian Group Sparse Multi-Task Regression (Version 0.7)
2016
biglasso : Extending Lasso Model Fitting to Big Data (Version 1.6.0)
2016
bigstatsr : Statistical Tools for Filebacked Big Matrices (Version 1.6.1)
2017
biospear : Biomarker Selection in Penalized Regression Models (Version 1.0.2)
2017
bolasso : Model Consistent Lasso Estimation Through the Bootstrap (Version 0.2.0)
2022
bonsaiforest : Shrinkage Based Forest Plots (Version 0.1.1)
2024
broom : Convert Statistical Objects into Tidy Tibbles (Version 1.0.7)
2014
c060 : Extended Inference for Lasso and Elastic-Net Regularized Cox and Generalized Linear Models (Version 0.3-0)
2013
caretEnsemble : Ensembles of Caret Models (Version 4.0.1)
2015
casebase : Fitting Flexible Smooth-in-Time Hazards and Risk Functions via Logistic and Multinomial Regression (Version 0.10.6)
2017
cases : Stratified Evaluation of Subgroup Classification Accuracy (Version 0.1.1)
2023
categoryEncodings : Category Variable Encodings (Version 1.4.3)
2020
catdata : Categorical Data (Version 1.2.4)
2012
causalweight : Estimation Methods for Causal Inference Based on Inverse Probability Weighting (Version 1.1.1)
2018
cbl : Causal Discovery under a Confounder Blanket (Version 0.1.3)
2022
censored : 'parsnip' Engines for Survival Models (Version 0.3.2)
2022
changepoints : A Collection of Change-Point Detection Methods (Version 1.1.0)
2021
ciccr : Causal Inference in Case-Control and Case-Population Studies (Version 0.3.0)
2020
clusterMI : Cluster Analysis with Missing Values by Multiple Imputation (Version 1.2.2)
2024
cmenet : Bi-Level Selection of Conditional Main Effects (Version 0.1.2)
2019
coca : Cluster-of-Clusters Analysis (Version 1.1.0)
2020
coda4microbiome : Compositional Data Analysis for Microbiome Studies (Version 0.2.4)
2022
coefplot : Plots Coefficients from Fitted Models (Version 1.2.8)
2011
comets : Covariance Measure Tests for Conditional Independence (Version 0.0-3)
2024
condvis2 : Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny (Version 0.1.2)
2019
conformalInference.multi : Conformal Inference Tools for Regression with Multivariate Response (Version 1.1.1)
2022
cornet : Penalised Regression for Dichotomised Outcomes (Version 1.0.0)
2019
cosso : Fit Regularized Nonparametric Regression Models Using COSSO Penalty (Version 2.1-2)
2010
covdepGE : Covariate Dependent Graph Estimation (Version 1.0.1)
2022
cpfa : Classification with Parallel Factor Analysis (Version 1.1-6)
2022
cpi : Conditional Predictive Impact (Version 0.1.4)
2022
cpt : Classification Permutation Test (Version 1.0.2)
2017
creditmodel : Toolkit for Credit Modeling, Analysis and Visualization (Version 1.3.1)
2019
crossurr : Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers (Version 1.1.1)
2022
csmpv : Biomarker Confirmation, Selection, Modelling, Prediction, and Validation (Version 1.0.3)
2024
ctmle : Collaborative Targeted Maximum Likelihood Estimation (Version 0.1.2)
2017
cuda.ml : R Interface for the RAPIDS cuML Suite of Libraries (Version 0.3.2)
2021
customizedTraining : Customized Training for Lasso and Elastic-Net Regularized Generalized Linear Models (Version 1.2)
2016
cvwrapr : Tools for Cross Validation (Version 1.0)
2021
daltoolboxdp : Data Pre-Processing Extensions (Version 1.0.767)
2024
ddml : Double/Debiased Machine Learning (Version 0.3.0)
2023
dipw : Debiased Inverse Propensity Score Weighting (Version 0.1.0)
2020
distillML : Model Distillation and Interpretability Methods for Machine Learning Models (Version 0.1.0.13)
2022
dlbayes : Use Dirichlet Laplace Prior to Solve Linear Regression Problem and Do Variable Selection (Version 0.1.0)
2018
dmlalg : Double Machine Learning Algorithms (Version 1.0.2)
2021
dnr : Simulate Dynamic Networks using Exponential Random Graph Models (ERGM) Family (Version 0.3.5)
2018
doc2concrete : Measuring Concreteness in Natural Language (Version 0.6.0)
2020
drape : Doubly Robust Average Partial Effects (Version 0.0.1)
2023
drcarlate : Improving Estimation Efficiency in CAR with Imperfect Compliance (Version 1.2.0)
2023
dtComb : Statistical Combination of Diagnostic Tests (Version 1.0.4)
2023
ePCR : Ensemble Penalized Cox Regression for Survival Prediction (Version 0.11.0)
2017
easy.glmnet : Functions to Simplify the Use of 'glmnet' for Machine Learning (Version 1.0)
2024
easyalluvial : Generate Alluvial Plots with a Single Line of Code (Version 0.3.2)
2018
eclust : Environment Based Clustering for Interpretable Predictive Models in High Dimensional Data (Version 0.1.0)
2017
ecostats : Code and Data Accompanying the Eco-Stats Text (Warton 2022) (Version 1.2.1)
2020
ecpc : Flexible Co-Data Learning for High-Dimensional Prediction (Version 3.1.1)
2021
elasso : Enhanced Least Absolute Shrinkage and Selection Operator Regression Model (Version 1.1)
2015
emBayes : Robust Bayesian Variable Selection via Expectation-Maximization (Version 0.1.6)
2023
enetLTS : Robust and Sparse Methods for High Dimensional Linear and Binary and Multinomial Regression (Version 1.1.0)
2018
ensr : Elastic Net SearcheR (Version 0.1.0)
2019
eshrink : Shrinkage for Effect Estimation (Version 0.1.2)
2017
evalITR : Evaluating Individualized Treatment Rules (Version 1.0.0)
2020
eventstream : Streaming Events and their Early Classification (Version 0.1.1)
2019
expandFunctions : Feature Matrix Builder (Version 0.1.0)
2016
factReg : Multi-Environment Genomic Prediction with Penalized Factorial Regression (Version 1.0.0)
2023
fairml : Fair Models in Machine Learning (Version 0.8)
2020
familiar : End-to-End Automated Machine Learning and Model Evaluation (Version 1.5.0)
2022
fastcpd : Fast Change Point Detection via Sequential Gradient Descent (Version 0.14.6)
2023
fastml : Fast Machine Learning Model Training and Evaluation (Version 0.1.0)
0
fdaSP : Sparse Functional Data Analysis Methods (Version 1.1.1)
2023
fdm2id : Data Mining and R Programming for Beginners (Version 0.9.9)
2019
finnts : Microsoft Finance Time Series Forecasting Framework (Version 0.5.0)
2022
flevr : Flexible, Ensemble-Based Variable Selection with Potentially Missing Data (Version 0.0.4)
2023
flexmix : Flexible Mixture Modeling (Version 2.3-19)
2003
flowml : A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)
2023
fmerPack : Tools of Heterogeneity Pursuit via Finite Mixture Effects Model (Version 0.0-1)
2021
forecastML : Time Series Forecasting with Machine Learning Methods (Version 0.9.0)
2019
fscaret : Automated Feature Selection from 'caret' (Version 0.9.4.4)
2013
fssemR : Fused Sparse Structural Equation Models to Jointly Infer Gene Regulatory Network (Version 0.1.8)
2019
fuser : Fused Lasso for High-Dimensional Regression over Groups (Version 1.0.1)
2017
gamlss.foreach : Parallel Computations for Distributional Regression (Version 1.1-6)
2021
gamlss.ggplots : Plotting Functions for Generalized Additive Model for Location Scale and Shape (Version 2.1-12)
2022
gamlss.lasso : Extra Lasso-Type Additive Terms for GAMLSS (Version 1.0-1)
2021
gamreg : Robust and Sparse Regression via Gamma-Divergence (Version 0.3)
2016
gapclosing : Estimate Gaps Under an Intervention (Version 1.0.2)
2021
gesso : Hierarchical GxE Interactions in a Regularized Regression Model (Version 1.0.2)
2021
ggfortify : Data Visualization Tools for Statistical Analysis Results (Version 0.4.17)
2015
ggmix : Variable Selection in Linear Mixed Models for SNP Data (Version 0.0.2)
2020
glmnetSE : Add Nonparametric Bootstrap SE to 'glmnet' for Selected Coefficients (No Shrinkage) (Version 0.0.1)
2021
glmnetUtils : Utilities for 'Glmnet' (Version 1.1.9)
2017
glmnetcr : Fit a Penalized Constrained Continuation Ratio Model for Predicting an Ordinal Response (Version 1.0.6)
2011
glmnetr : Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models (Version 0.5-4)
2022
glmtrans : Transfer Learning under Regularized Generalized Linear Models (Version 2.0.0)
2021
glmvsd : Variable Selection Deviation Measures and Instability Tests for High-Dimensional Generalized Linear Models (Version 1.5)
2014
gofar : Generalized Co-Sparse Factor Regression (Version 0.1)
2022
goffda : Goodness-of-Fit Tests for Functional Data (Version 0.1.2)
2019
graphicalExtremes : Statistical Methodology for Graphical Extreme Value Models (Version 0.3.2)
2019
graphicalVAR : Graphical VAR for Experience Sampling Data (Version 0.3.4)
2015
hal9001 : The Scalable Highly Adaptive Lasso (Version 0.4.6)
2020
hbal : Hierarchically Regularized Entropy Balancing (Version 1.2.12)
2023
hdcuremodels : Penalized Mixture Cure Models for High-Dimensional Data (Version 0.0.1)
2024
hdi : High-Dimensional Inference (Version 0.1-9)
2014
hdm : High-Dimensional Metrics (Version 0.3.2)
2016
hdme : High-Dimensional Regression with Measurement Error (Version 0.6.0)
2018
hdnom : Benchmarking and Visualization Toolkit for Penalized Cox Models (Version 6.0.4)
2015
healthyR.ts : The Time Series Modeling Companion to 'healthyR' (Version 0.3.1)
2021
heuristica : Heuristics Including Take the Best and Unit-Weight Linear (Version 1.0.3)
2016
iBART : Iterative Bayesian Additive Regression Trees Descriptor Selection Method (Version 1.0.0)
2023
idopNetwork : A Network Tool to Dissect Spatial Community Ecology (Version 0.1.2)
2022
iml : Interpretable Machine Learning (Version 0.11.3)
2018
imputeR : A General Multivariate Imputation Framework (Version 2.2)
2014
inet : Performing Inference on Networks with Regularization (Version 0.1.0)
2022
inters : Flexible Tools for Estimating Interactions (Version 0.2.0)
2022
intrinsicFRP : An R Package for Factor Model Asset Pricing (Version 2.1.0)
2023
ipflasso : Integrative Lasso with Penalty Factors (Version 1.1)
2015
islasso : The Induced Smoothed Lasso (Version 1.5.2)
2019
joinet : Penalised Multivariate Regression ('Multi-Target Learning') (Version 1.0.0)
2019
knockoff : The Knockoff Filter for Controlled Variable Selection (Version 0.3.6)
2014
kosel : Variable Selection by Revisited Knockoffs Procedures (Version 0.0.1)
2019
l1spectral : An L1-Version of the Spectral Clustering (Version 0.99.6)
2021
latentgraph : Graphical Models with Latent Variables (Version 1.1)
2020
lilikoi : Metabolomics Personalized Pathway Analysis Tool (Version 2.1.1)
2018
lime : Local Interpretable Model-Agnostic Explanations (Version 0.5.3)
2017
live : Local Interpretable (Model-Agnostic) Visual Explanations (Version 1.5.13)
2018
localModel : LIME-Based Explanations with Interpretable Inputs Based on Ceteris Paribus Profiles (Version 0.5)
2019
logicDT : Identifying Interactions Between Binary Predictors (Version 1.0.5)
2021
mase : Model-Assisted Survey Estimators (Version 0.1.5.2)
2018
maxnet : Fitting 'Maxent' Species Distribution Models with 'glmnet' (Version 0.1.4)
2016
mcb : Model Confidence Bounds (Version 0.1.15)
2020
mcboost : Multi-Calibration Boosting (Version 0.4.3)
2021
mcen : Multivariate Cluster Elastic Net (Version 1.2.1)
2018
mdpeer : Graph-Constrained Regression with Enhanced Regularization Parameters Selection (Version 1.0.1)
2016
medflex : Flexible Mediation Analysis Using Natural Effect Models (Version 0.6-10)
2014
metafuse : Fused Lasso Approach in Regression Coefficient Clustering (Version 2.0-1)
2015
mgm : Estimating Time-Varying k-Order Mixed Graphical Models (Version 1.2-14)
2015
mice : Multivariate Imputation by Chained Equations (Version 3.16.0)
2006
mikropml : User-Friendly R Package for Supervised Machine Learning Pipelines (Version 1.6.1)
2020
milr : Multiple-Instance Logistic Regression with LASSO Penalty (Version 0.3.1)
2016
mimi : Main Effects and Interactions in Mixed and Incomplete Data (Version 0.2.0)
2019
misspi : Missing Value Imputation in Parallel (Version 0.1.0)
2023
mllrnrs : R6-Based ML Learners for 'mlexperiments' (Version 0.0.4)
2023
mlr : Machine Learning in R (Version 2.19.2)
2013
mlr3learners : Recommended Learners for 'mlr3' (Version 0.8.0)
2019
mlr3pipelines : Preprocessing Operators and Pipelines for 'mlr3' (Version 0.7.0)
2019
mlr3superlearner : Super Learner Fitting and Prediction (Version 0.1.2)
2024
mlr3tuningspaces : Search Spaces for 'mlr3' (Version 0.5.1)
2021
mlr3viz : Visualizations for 'mlr3' (Version 0.10.0)
2020
mlsurvlrnrs : R6-Based ML Survival Learners for 'mlexperiments' (Version 0.0.4)
2023
mmabig : Multiple Mediation Analysis for Big Data Sets (Version 3.2-0)
2018
modeltime.ensemble : Ensemble Algorithms for Time Series Forecasting with Modeltime (Version 1.0.4)
2020
modeltime.resample : Resampling Tools for Time Series Forecasting (Version 0.2.3)
2020
modeltime : The Tidymodels Extension for Time Series Modeling (Version 1.3.1)
2020
modnets : Modeling Moderated Networks (Version 0.9.0)
2021
mombf : Model Selection with Bayesian Methods and Information Criteria (Version 3.5.4)
2008
mpae : Metodos Predictivos de Aprendizaje Estadistico (Statistical Learning Predictive Methods) (Version 0.1.2)
2024
mpath : Regularized Linear Models (Version 0.4-2.26)
2014
mplot : Graphical Model Stability and Variable Selection Procedures (Version 1.0.6)
2015
msaenet : Multi-Step Adaptive Estimation Methods for Sparse Regressions (Version 3.1.2)
2016
mudfold : Multiple UniDimensional unFOLDing (Version 1.1.21)
2017
multid : Multivariate Difference Between Two Groups (Version 1.0.0)
2021
multiness : MULTIplex NEtworks with Shared Structure (Version 1.0.2)
2022
multivar : Penalized Estimation of Multiple-Subject Vector Autoregressive (multi-VAR) Models (Version 1.1.0)
2020
multivarious : Extensible Data Structures for Multivariate Analysis (Version 0.2.0)
2024
multiview : Cooperative Learning for Multi-View Analysis (Version 0.8)
2022
mvs : Methods for High-Dimensional Multi-View Learning (Version 2.0.0)
2023
naivereg : Nonparametric Additive Instrumental Variable Estimator and Related IV Methods (Version 1.0.5)
2018
natural : Estimating the Error Variance in a High-Dimensional Linear Model (Version 0.9.0)
2018
nbfar : Negative Binomial Factor Regression Models ('nbfar') (Version 0.1)
2022
nestedcv : Nested Cross-Validation with 'glmnet' and 'caret' (Version 0.7.10)
2022
nestedmodels : Tidy Modelling for Nested Data (Version 1.1.0)
2022
netgsa : Network-Based Gene Set Analysis (Version 4.0.5)
2014
nlpred : Estimators of Non-Linear Cross-Validated Risks Optimized for Small Samples (Version 1.0.1)
2019
nnGarrote : Non-Negative Garrote Estimation with Penalized Initial Estimators (Version 1.0.4)
2020
nnfor : Time Series Forecasting with Neural Networks (Version 0.9.9)
2017
nonet : Weighted Average Ensemble without Training Labels (Version 0.4.0)
2018
nproc : Neyman-Pearson (NP) Classification Algorithms and NP Receiver Operating Characteristic (NP-ROC) Curves (Version 2.1.5)
2016
nscancor : Non-Negative and Sparse CCA (Version 0.7.0-6)
2014
obliqueRSF : Oblique Random Forests for Right-Censored Time-to-Event Data (Version 0.1.2)
2018
ocf : Ordered Correlation Forest (Version 1.0.1)
2023
offsetreg : An Extension of 'Tidymodels' Supporting Offset Terms (Version 1.1.0)
2024
omicwas : Cell-Type-Specific Association Testing in Bulk Omics Experiments (Version 0.8.0)
2020
oncoPredict : Drug Response Modeling and Biomarker Discovery (Version 1.2)
2021
oosse : Out-of-Sample R² with Standard Error Estimation (Version 1.0.11)
2023
ordinalNet : Penalized Ordinal Regression (Version 2.12)
2015
origami : Generalized Framework for Cross-Validation (Version 1.0.7)
2017
oscar : Optimal Subset Cardinality Regression (OSCAR) Models Using the L0-Pseudonorm (Version 1.2.1)
2022
pMEM : Predictive Moran's Eigenvector Maps (Version 0.1-1)
2024
palasso : Sparse Regression with Paired Covariates (Version 1.0.0)
2018
pathwayTMB : Pathway Based Tumor Mutational Burden (Version 0.1.3)
2021
pda : Privacy-Preserving Distributed Algorithms (Version 1.2.7)
2020
pencal : Penalized Regression Calibration (PRC) for the Dynamic Prediction of Survival (Version 2.2.2)
2020
penppml : Penalized Poisson Pseudo Maximum Likelihood Regression (Version 0.2.3)
2021
personalized : Estimation and Validation Methods for Subgroup Identification and Personalized Medicine (Version 0.2.7)
2017
pgraph : Build Dependency Graphs using Projection (Version 1.6)
2016
phd : Permutation Testing in High-Dimensional Linear Models (Version 0.2)
2019
pheble : Classifying High-Dimensional Phenotypes with Ensemble Learning (Version 0.1.0)
2023
planningML : A Sample Size Calculator for Machine Learning Applications in Healthcare (Version 1.0.1)
2022
plasso : Cross-Validated (Post-) Lasso (Version 0.1.2)
2023
plmmr : Penalized Linear Mixed Models for Correlated Data (Version 4.1.0)
2024
plotmo : Plot a Model's Residuals, Response, and Partial Dependence Plots (Version 3.6.4)
2011
plsmmLasso : Variable Selection and Inference for Partial Semiparametric Linear Mixed-Effects Model (Version 1.1.0)
2024
plsmselect : Linear and Smooth Predictor Modelling with Penalisation and Variable Selection (Version 0.2.0)
2019
pmml : Generate PMML for Various Models (Version 2.5.2)
2007
politeness : Detecting Politeness Features in Text (Version 0.9.3)
2017
polle : Policy Learning (Version 1.5)
2022
polywog : Bootstrapped Basis Regression with Oracle Model Selection (Version 0.4-1)
2012
pqrBayes : Bayesian Penalized Quantile Regression (Version 1.0.2)
2023
pre : Prediction Rule Ensembles (Version 1.0.7)
2016
precmed : Precision Medicine (Version 1.1.0)
2022
predhy.GUI : Genomic Prediction of Hybrid Performance with Graphical User Interface (Version 2.0.1)
2023
predhy : Genomic Prediction of Hybrid Performance (Version 2.1.1)
2019
prediction : Tidy, Type-Safe 'prediction()' Methods (Version 0.3.18)
2016
predictoR : Predictive Data Analysis System (Version 4.1.1)
2019
prioritylasso : Analyzing Multiple Omics Data with an Offset Approach (Version 0.3.1)
2017
probe : Sparse High-Dimensional Linear Regression with PROBE (Version 1.1)
2023
projpred : Projection Predictive Feature Selection (Version 2.8.0)
2018
prototest : Inference on Prototypes from Clusters of Features (Version 1.2)
2016
quadrupen : Sparsity by Worst-Case Quadratic Penalties (Version 0.2-12)
2012
quanteda.textmodels : Scaling Models and Classifiers for Textual Data (Version 0.9.9)
2020
qwraps2 : Quick Wraps 2 (Version 0.6.1)
2015
r2pmml : Convert R Models to PMML (Version 0.28.0)
2019
rMultiNet : Multi-Layer Networks Analysis (Version 0.1)
2023
rare : Linear Model with Tree-Based Lasso Regularization for Rare Features (Version 0.1.1)
2018
rdomains : Get the Category of Content Hosted by a Domain (Version 0.2.1)
2016
regmhmm : 'regmhmm' Fits Hidden Markov Models with Regularization (Version 1.0.0)
2023
regnet : Network-Based Regularization for Generalized Linear Models (Version 1.0.1)
2017
regressoR : Regression Data Analysis System (Version 3.0.2)
2019
regsem : Regularized Structural Equation Modeling (Version 1.9.5)
2016
regtools : Regression and Classification Tools (Version 1.7.0)
2016
relgam : Reluctant Generalized Additive Models (Version 1.0)
2020
riskRegression : Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks (Version 2023.12.21)
2011
rminer : Data Mining Classification and Regression Methods (Version 1.4.8)
2011
robStepSplitReg : Robust Stepwise Split Regularized Regression (Version 1.1.0)
2023
roben : Robust Bayesian Variable Selection for Gene-Environment Interactions (Version 0.1.1)
2020
roccv : ROC for Cross Validation Results (Version 1.2)
2016
roseRF : ROSE Random Forests for Robust Semiparametric Efficient Estimation (Version 0.1.0)
2024
rrpack : Reduced-Rank Regression (Version 0.1-13)
2017
s2net : The Generalized Semi-Supervised Elastic-Net (Version 1.0.7)
2020
sAIC : Akaike Information Criterion for Sparse Estimation (Version 1.0.1)
2016
sMTL : Sparse Multi-Task Learning (Version 0.1.0)
2023
scAnnotate : An Automated Cell Type Annotation Tool for Single-Cell RNA-Sequencing Data (Version 0.3)
2022
sdafilter : Symmetrized Data Aggregation (Version 1.0.0)
2020
selectiveInference : Tools for Post-Selection Inference (Version 1.2.5)
2015
sense : Automatic Stacked Ensemble for Regression Tasks (Version 1.1.0)
2021
sentometrics : An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction (Version 1.0.0)
2017
sgd : Stochastic Gradient Descent for Scalable Estimation (Version 1.1.2)
2015
sharp : Stability-enHanced Approaches using Resampling Procedures (Version 1.4.6)
2022
sharpPen : Penalized Data Sharpening for Local Polynomial Regression (Version 1.9)
2021
simode : Statistical Inference for Systems of Ordinary Differential Equations using Separable Integral-Matching (Version 1.2.2)
2018
simputation : Simple Imputation (Version 0.2.8)
2016
simulator : An Engine for Running Simulations (Version 0.2.5)
2016
sirus : Stable and Interpretable RUle Set (Version 0.3.3)
2019
sivs : Stable Iterative Variable Selection (Version 0.2.10)
2020
skipTrack : A Bayesian Hierarchical Model that Controls for Non-Adherence in Mobile Menstrual Cycle Tracking (Version 0.1.0)
2024
slimrec : Sparse Linear Method to Predict Ratings and Top-N Recommendations (Version 0.1.0)
2017
smurf : Sparse Multi-Type Regularized Feature Modeling (Version 1.1.5)
2018
sox : Structured Learning in Time-Dependent Cox Models (Version 1.2)
2023
sparsegl : Sparse Group Lasso (Version 1.1.1)
2022
sparsereg : Sparse Bayesian Models for Regression, Subgroup Analysis, and Panel Data (Version 1.2)
2015
sparsevar : Sparse VAR/VECM Models Estimation (Version 0.1.0)
2016
sparsevb : Spike-and-Slab Variational Bayes for Linear and Logistic Regression (Version 0.1.0)
2021
spatstat.model : Parametric Statistical Modelling and Inference for the 'spatstat' Family (Version 3.3-2)
2022
spinBayes : Semi-Parametric Gene-Environment Interaction via Bayesian Variable Selection (Version 0.2.1)
2019
splitSelect : Best Split Selection Modeling for Low-Dimensional Data (Version 1.0.3)
2020
spm2 : Spatial Predictive Modeling (Version 1.1.3)
2021
sprintr : Sparse Reluctant Interaction Modeling (Version 0.9.0)
2019
sqlscore : Utilities for Generating SQL Queries from Model Objects (Version 0.1.4)
2016
squant : Subgroup Identification Based on Quantitative Objectives (Version 1.1.7)
2022
squeezy : Group-Adaptive Elastic Net Penalised Generalised Linear Models (Version 1.1-1)
2021
srlars : Split Robust Least Angle Regression (Version 1.0.1)
2023
stabiliser : Stabilising Variable Selection (Version 1.0.6)
2021
stabs : Stability Selection with Error Control (Version 0.6-4)
2014
stacks : Tidy Model Stacking (Version 1.0.5)
2020
starnet : Stacked Elastic Net (Version 0.0.7)
2020
statVisual : Statistical Visualization Tools (Version 1.2.1)
2019
stepPenal : Stepwise Forward Variable Selection in Penalized Regression (Version 0.2)
2016
stm : Estimation of the Structural Topic Model (Version 1.3.7)
2014
stratamatch : Stratification and Matching for Large Observational Data Sets (Version 0.1.9)
2019
sts : Estimation of the Structural Topic and Sentiment-Discourse Model for Text Analysis (Version 1.1)
2024
subsemble : An Ensemble Method for Combining Subset-Specific Algorithm Fits (Version 0.1.0)
2014
superMICE : SuperLearner Method for MICE (Version 1.1.1)
2022
superml : Build Machine Learning Models Like Using Python's Scikit-Learn Library in R (Version 0.5.7)
2018
sureLDA : A Novel Multi-Disease Automated Phenotyping Method for the EHR (Version 0.1.0-1)
2020
survcompare : Nested Cross-Validation to Compare Cox-PH, Cox-Lasso, Survival Random Forests (Version 0.2.0)
2024
survex : Explainable Machine Learning in Survival Analysis (Version 1.2.0)
2022
survival.svb : Fit High-Dimensional Proportional Hazards Models (Version 0.0-2)
2021
survivalSL : Super Learner for Survival Prediction from Censored Data (Version 0.96)
2023
svyVarSel : Variable Selection for Complex Survey Data (Version 1.0.1)
2024
swag : Sparse Wrapper Algorithm (Version 0.1.0)
2020
tehtuner : Fit and Tune Models to Detect Treatment Effect Heterogeneity (Version 0.3.0)
2022
text : Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning (Version 1.2.3)
2020
text2vec : Modern Text Mining Framework for R (Version 0.6.4)
2016
tidyAML : Automatic Machine Learning with 'tidymodels' (Version 0.0.5)
2023
tidyfit : Regularized Linear Modeling with Tidy Data (Version 0.7.2)
2022
tidyhte : Tidy Estimation of Heterogeneous Treatment Effects (Version 1.0.2)
2023
timetk : A Tool Kit for Working with Time Series (Version 2.9.0)
2017
tmle : Targeted Maximum Likelihood Estimation (Version 2.0.1.1)
2012
tools4uplift : Tools for Uplift Modeling (Version 1.0.0)
2019
tornado : Plots for Model Sensitivity and Variable Importance (Version 0.1.3)
2022
traineR : Predictive (Classification and Regression) Models Homologator (Version 2.2.0)
2019
tramnet : Penalized Transformation Models (Version 0.0-8)
2020
transreg : Penalised Regression with Multiple Sets of Prior Effects ('Transfer Learning') (Version 1.0.3)
2023
triplot : Explaining Correlated Features in Machine Learning Models (Version 1.3.0)
2020
tsensembler : Dynamic Ensembles for Time Series Forecasting (Version 0.1.0)
2017
tsrobprep : Robust Preprocessing of Time Series Data (Version 0.3.2)
2020
twoStageDesignTMLE : Targeted Maximum Likelihood Estimation for Two-Stage Study Design (Version 1.0)
2024
varEst : Variance Estimation (Version 0.1.0)
2019
varbvs : Large-Scale Bayesian Variable Selection Using Variational Methods (Version 2.6-10)
2012
varycoef : Modeling Spatially Varying Coefficients (Version 0.3.4)
2019
vimp : Perform Inference on Algorithm-Agnostic Variable Importance (Version 2.3.3)
2018
vip : Variable Importance Plots (Version 0.4.1)
2018
viralmodels : Viral Load and CD4 Lymphocytes Regression Models (Version 1.3.1)
2023
webSDM : Including Known Interactions in Species Distribution Models (Version 1.1-5)
2022
wsprv : Weighted Selection Probability for Rare Variant Analysis (Version 0.1.0)
2021
xLLiM : High Dimensional Locally-Linear Mapping (Version 2.3)
2016
xrf : eXtreme RuleFit (Version 0.2.2)
2019
xtune : Regularized Regression with Feature-Specific Penalties Integrating External Information (Version 2.0.0)
2019
Showing 1-558 of 558
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