Referenced by ⇅
Year
babsim.hospital : Bartz & Bartz Simulation Hospital (Version 11.8.8)
2020
Biocomb : Feature Selection and Classification with the Embedded
Validation Procedures for Biomedical Data Analysis (Version 0.4)
2015
CADStat : Provides a GUI to Several Statistical Methods (Version 3.0.8)
2008
ccdf : Distribution-Free Single-Cell Differential Expression Analysis (Version 1.1.4)
2021
crtests : Classification and Regression Tests (Version 0.2.1)
2016
DriveML : Self-Drive Machine Learning Projects (Version 0.1.5)
2020
feamiR : Classification and Feature Selection for microRNA/mRNA
Interactions (Version 0.1.0)
2021
hybridEnsemble : Build, Deploy and Evaluate Hybrid Ensembles (Version 1.7.9)
2013
mfe : Meta-Feature Extractor (Version 0.1.5)
2017
mistat : Data Sets, Functions and Examples from the Book: "Modern
Industrial Statistics" by Kenett, Zacks and Amberti (Version 2.0.4)
2013
mnj : Machine Learning and Judgement (Version 1.0)
2019
mosmafs : Multi-Objective Simultaneous Model and Feature Selection (Version 0.1.2-1)
2020
regfilter : Elimination of Noisy Samples in Regression Datasets using Noise
Filters (Version 1.1.1)
2022
scoringTools : Credit Scoring Tools (Version 0.1.3)
2020
spatstat.core : Core Functionality of the "spatstat" Family (Version 2.4-4)
2021
SPOT : Sequential Parameter Optimization Toolbox (Version 2.11.14)
2010
SPOTMisc : Misc Extensions for the "SPOT" Package (Version 1.19.52)
2021
treemisc : Data Sets and Functions to Accompany "Tree-Based Methods for
Statistical Learning in R" (Version 0.0.1)
2022
chemmodlab : A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models (Version 2.0.0)
2017
FSinR : Feature Selection (Version 2.0.5)
2019
NADIA : NA Data Imputation Algorithms (Version 0.4.2)
2020
MantaID : A Machine-Learning Based Tool to Automate the Identification of Biological Database IDs (Version 1.0.4)
2022
MatchIt : Nonparametric Preprocessing for Parametric Causal Inference (Version 4.5.5)
2005
MetabolomicsBasics : Basic Functions to Investigate Metabolomics Data Matrices (Version 1.4.5)
2018
embed : Extra Recipes for Encoding Predictors (Version 1.1.4)
2018
AntAngioCOOL : Anti-Angiogenic Peptide Prediction (Version 1.2)
2016
AutoScore : An Interpretable Machine Learning-Based Automatic Clinical Score Generator (Version 1.0.0)
2021
BT : (Adaptive) Boosting Trees Algorithm (Version 0.4)
2023
BatchExperiments : Statistical Experiments on Batch Computing Clusters (Version 1.4.3)
2012
BiodiversityR : Package for Community Ecology and Suitability Analysis (Version 2.16-1)
2007
Bodi : Boosting Diversity in Regression Ensembles (Version 0.1.0)
2022
C443 : See a Forest for the Trees (Version 3.4.0)
2018
CALIBERrfimpute : Multiple Imputation Using MICE and Random Forest (Version 1.0-7)
2013
CSMES : Cost-Sensitive Multi-Criteria Ensemble Selection for Uncertain Cost Conditions (Version 1.0.1)
2020
CTShiny : Interactive Document for Working with Classification Tree Analysis (Version 0.1.0)
2019
CTShiny2 : Interactive Document for Working with Classification Tree Analysis (Version 0.1.0)
2020
DAAG : Data Analysis and Graphics Data and Functions (Version 1.25.6)
2005
DALEXtra : Extension for 'DALEX' Package (Version 2.3.0)
2019
DIscBIO : A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics (Version 1.2.2)
2020
DMwR2 : Functions and Data for the Second Edition of "Data Mining with R" (Version 0.0.2)
2016
Dforest : Decision Forest (Version 0.4.2)
2017
DidacticBoost : A Simple Implementation and Demonstration of Gradient Boosting (Version 0.1.1)
2016
DoubleML : Double Machine Learning in R (Version 1.0.1)
2020
DynTxRegime : Methods for Estimating Optimal Dynamic Treatment Regimes (Version 4.15)
2015
EZtune : Tunes AdaBoost, Elastic Net, Support Vector Machines, and Gradient Boosting Machines (Version 3.1.1)
2018
FFTrees : Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees (Version 2.0.0)
2016
FRESA.CAD : Feature Selection Algorithms for Computer Aided Diagnosis (Version 3.4.8)
2014
FSelector : Selecting Attributes (Version 0.34)
2009
FSelectorRcpp : 'Rcpp' Implementation of 'FSelector' Entropy-Based Feature Selection Algorithms with a Sparse Matrix Support (Version 0.3.13)
2017
GENEAclassify : Segmentation and Classification of Accelerometer Data (Version 1.5.5)
2017
GPLTR : Generalized Partially Linear Tree-Based Regression Model (Version 1.5)
2014
GenericML : Generic Machine Learning Inference (Version 0.2.2)
2021
HMP : Hypothesis Testing and Power Calculations for Comparing Metagenomic Samples from HMP (Version 2.0.1)
2011
HSAUR : A Handbook of Statistical Analyses Using R (1st Edition) (Version 1.3-10)
2006
HSAUR3 : A Handbook of Statistical Analyses Using R (3rd Edition) (Version 1.0-15)
2014
HSAUR2 : A Handbook of Statistical Analyses Using R (2nd Edition) (Version 1.1-20)
2009
HandTill2001 : Multiple Class Area under ROC Curve (Version 1.0.1)
2012
Harvest.Tree : Harvest the Classification Tree (Version 1.1)
2015
Hmisc : Harrell Miscellaneous (Version 5.1-3)
2003
IRon : Solving Imbalanced Regression Tasks (Version 0.1.4)
2022
ImHD : Artificial Intelligence Based Machine Learning Algorithms for Height Diameter Relationships of Conifer Trees (Version 0.1.0)
2023
ImML : Machine Learning Algorithms Fitting and Validation for Forestry (Version 0.1.5)
2023
JOPS : Practical Smoothing with P-Splines (Version 0.1.19)
2021
JOUSBoost : Implements Under/Oversampling for Probability Estimation (Version 2.1.0)
2016
LTRCtrees : Survival Trees to Fit Left-Truncated and Right-Censored and Interval-Censored Survival Data (Version 1.1.1)
2016
LearnPCA : Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA) (Version 0.3.4)
2022
LocalControl : Nonparametric Methods for Generating High Quality Comparative Effectiveness Evidence (Version 1.1.4)
2017
LongCART : Recursive Partitioning for Longitudinal Data and Right Censored Data Using Baseline Covariates (Version 3.2)
2019
LongituRF : Random Forests for Longitudinal Data (Version 0.9)
2020
MTPS : Multi-Task Prediction using Stacking Algorithms (Version 1.0.2)
2020
MachineShop : Machine Learning Models and Tools (Version 3.8.0)
2018
ModTools : Building Regression and Classification Models (Version 0.9.13)
2021
Modeler : Classes and Methods for Training and Using Binary Prediction Models (Version 3.4.5)
2017
MplusTrees : Decision Trees with Structural Equation Models Fit in 'Mplus' (Version 0.2.2)
2019
OpenML : Open Machine Learning and Open Data Platform (Version 1.12)
2016
PDtoolkit : Collection of Tools for PD Rating Model Development and Validation (Version 1.2.0)
2022
PSAboot : Bootstrapping for Propensity Score Analysis (Version 1.3.8)
2013
PSAgraphics : Propensity Score Analysis Graphics (Version 2.1.3)
2007
PredPsych : Predictive Approaches in Psychology (Version 0.4)
2017
Qindex : Continuous and Dichotomized Index Predictors Based on Distribution Quantiles (Version 0.1.6)
2022
R2HTML : HTML Exportation for R Objects (Version 2.3.4)
2001
REEMtree : Regression Trees with Random Effects for Longitudinal (Panel) Data (Version 0.90.5)
2009
RISCA : Causal Inference and Prediction in Cohort-Based Analyses (Version 1.0.5)
2020
ROSE : Random Over-Sampling Examples (Version 0.0-4)
2013
RRBoost : A Robust Boosting Algorithm (Version 0.1)
2020
RSDA : R to Symbolic Data Analysis (Version 3.2.1)
2013
RaSEn : Random Subspace Ensemble Classification and Variable Screening (Version 3.0.0)
2020
RecordLinkage : Record Linkage Functions for Linking and Deduplicating Data Sets (Version 0.4-12.4)
2010
SMOTEWB : Imbalanced Resampling using SMOTE with Boosting (SMOTEWB) (Version 1.2.0)
2022
SSDM : Stacked Species Distribution Modelling (Version 0.2.9)
2016
StratifiedMedicine : Stratified Medicine (Version 1.0.5)
2019
SubgrpID : Patient Subgroup Identification for Clinical Drug Development (Version 0.12)
2017
SuperLearner : Super Learner Prediction (Version 2.0-29)
2011
TSDT : Treatment-Specific Subgroup Detection Tool (Version 1.0.7)
2018
TestsSymmetry : Tests for Symmetry when the Center of Symmetry is Unknown (Version 1.0.0)
2024
UBL : An Implementation of Re-Sampling Approaches to Utility-Based Learning for Both Classification and Regression Tasks (Version 0.0.9)
2016
UBayFS : A User-Guided Bayesian Framework for Ensemble Feature Selection (Version 1.0)
2023
VSURF : Variable Selection Using Random Forests (Version 1.2.0)
2013
aVirtualTwins : Adaptation of Virtual Twins Method from Jared Foster (Version 1.0.1)
2016
ada : The R Package Ada for Stochastic Boosting (Version 2.0-5)
2006
adabag : Applies Multiclass AdaBoost.M1, SAMME and Bagging (Version 5.0)
2006
aggTrees : Aggregation Trees (Version 2.1.0)
2023
agghoo : Aggregated Hold-Out Cross Validation (Version 0.1-0)
2023
alookr : Model Classifier for Binary Classification (Version 0.3.9)
2020
animint2 : Animated Interactive Grammar of Graphics (Version 2024.1.24)
2019
arsenal : An Arsenal of 'R' Functions for Large-Scale Statistical Summaries (Version 3.6.3)
2016
aslib : Interface to the Algorithm Selection Benchmark Library (Version 0.1.2)
2020
autoBagging : Learning to Rank Bagging Workflows with Metalearning (Version 0.1.0)
2017
autoScorecard : Fully Automatic Generation of Scorecards (Version 0.3.0)
2023
baguette : Efficient Model Functions for Bagging (Version 1.0.2)
2020
bartCause : Causal Inference using Bayesian Additive Regression Trees (Version 1.0-9)
2020
batchtools : Tools for Computation on Batch Systems (Version 0.9.17)
2016
bcf : Causal Inference using Bayesian Causal Forests (Version 2.0.2)
2018
binst : Data Preprocessing, Binning for Classification and Regression (Version 0.2.1)
2016
biomod2 : Ensemble Platform for Species Distribution Modeling (Version 4.2-5-2)
2012
bnclassify : Learning Discrete Bayesian Network Classifiers from Data (Version 0.4.8)
2015
bsnsing : Build Decision Trees with Optimal Multivariate Splits (Version 1.0.1)
2022
bst : Gradient Boosting (Version 0.3-24)
2011
butcher : Model Butcher (Version 0.3.4)
2019
caTools : Tools: Moving Window Statistics, GIF, Base64, ROC AUC, etc (Version 1.18.3)
2005
candisc : Visualizing Generalized Canonical Discriminant and Canonical Correlation Analysis (Version 0.9.0)
2008
caretEnsemble : Ensembles of Caret Models (Version 4.0.1)
2015
caret : Classification and Regression Training (Version 6.0-94)
2007
catdata : Categorical Data (Version 1.2.4)
2012
censored : 'parsnip' Engines for Survival Models (Version 0.3.2)
2022
ceterisParibus : Ceteris Paribus Profiles (Version 0.4.2)
2018
chemometrics : Multivariate Statistical Analysis in Chemometrics (Version 1.4.4)
2008
citrus : Customer Intelligence Tool for Rapid Understandable Segmentation (Version 1.0.2)
2021
classifly : Explore Classification Models in High Dimensions (Version 0.4.1)
2006
classmap : Visualizing Classification Results (Version 1.2.3)
2021
condvis2 : Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny (Version 0.1.2)
2019
counterfactuals : Counterfactual Explanations (Version 0.1.6)
2023
creditmodel : Toolkit for Credit Modeling, Analysis and Visualization (Version 1.3.1)
2019
d3r : 'd3.js' Utilities for R (Version 1.1.0)
2016
data.tree : General Purpose Hierarchical Data Structure (Version 1.1.0)
2015
deepdive : Deep Learning for General Purpose (Version 1.0.4)
2020
dendextend : Extending 'dendrogram' Functionality in R (Version 1.18.1)
2014
dials : Tools for Creating Tuning Parameter Values (Version 1.3.0)
2018
discSurv : Discrete Time Survival Analysis (Version 2.0.0)
2015
div : Report on Diversity and Inclusion in a Corporate Setting (Version 0.3.1)
2021
dlookr : Tools for Data Diagnosis, Exploration, Transformation (Version 0.6.3)
2018
doParallel : Foreach Parallel Adaptor for the 'parallel' Package (Version 1.0.17)
2011
doSNOW : Foreach Parallel Adaptor for the 'snow' Package (Version 1.0.20)
2009
e1071 : Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien (Version 1.7-16)
1999
easyalluvial : Generate Alluvial Plots with a Single Line of Code (Version 0.3.2)
2018
ebmc : Ensemble-Based Methods for Class Imbalance Problem (Version 1.0.1)
2017
evalITR : Evaluating Individualized Treatment Rules (Version 1.0.0)
2020
evtree : Evolutionary Learning of Globally Optimal Trees (Version 1.0-8)
2011
explore : Simplifies Exploratory Data Analysis (Version 1.3.2)
2019
farr : Data and Code for Financial Accounting Research (Version 0.3.0)
2022
fdm2id : Data Mining and R Programming for Beginners (Version 0.9.9)
2019
featurefinder : Feature Finder (Version 1.1)
2018
finetune : Additional Functions for Model Tuning (Version 1.2.0)
2020
flacco : Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems (Version 1.8)
2015
flashlight : Shed Light on Black Box Machine Learning Models (Version 0.9.0)
2019
flowml : A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)
2023
fmeffects : Model-Agnostic Interpretations with Forward Marginal Effects (Version 0.1.3)
2023
fscaret : Automated Feature Selection from 'caret' (Version 0.9.4.4)
2013
funkycells : Functional Data Analysis for Multiplexed Cell Images (Version 1.1.1)
2023
gamclass : Functions and Data for a Course on Modern Regression and Classification (Version 0.62.5)
2012
gamlss.add : Extra Additive Terms for Generalized Additive Models for Location Scale and Shape (Version 5.1-13)
2009
gdverse : Analysis of Spatial Stratified Heterogeneity (Version 1.1-1)
2024
geomod : A Computer Program for Geotechnical Investigations (Version 0.1.0)
2023
ggResidpanel : Panels and Interactive Versions of Diagnostic Plots using 'ggplot2' (Version 0.3.0)
2019
ggdendro : Create Dendrograms and Tree Diagrams Using 'ggplot2' (Version 0.2.0)
2013
ggplot2 : Create Elegant Data Visualisations Using the Grammar of Graphics (Version 3.5.1)
2007
glmnetr : Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models (Version 0.5-4)
2022
htetree : Causal Inference with Tree-Based Machine Learning Algorithms (Version 0.1.19)
2023
iBST : Improper Bagging Survival Tree (Version 1.2)
2017
ibmdbR : IBM in-Database Analytics for R (Version 1.51.0)
2014
iml : Interpretable Machine Learning (Version 0.11.3)
2018
imputeGeneric : Ease the Implementation of Imputation Methods (Version 0.1.0)
2022
imputeR : A General Multivariate Imputation Framework (Version 2.2)
2014
insight : Easy Access to Model Information for Various Model Objects (Version 0.20.5)
2019
ipred : Improved Predictors (Version 0.9-15)
2002
isoboost : Isotonic Boosting Classification Rules (Version 1.0.1)
2020
jlctree : Joint Latent Class Trees for Joint Modeling of Time-to-Event and Longitudinal Data (Version 0.0.2)
2018
klaR : Classification and Visualization (Version 1.7-3)
2004
languageR : Analyzing Linguistic Data: A Practical Introduction to Statistics (Version 1.5.0)
2007
lares : Analytics & Machine Learning Sidekick (Version 5.2.9)
2021
less : Learning with Subset Stacking (Version 0.1.0)
2022
longRPart2 : Recursive Partitioning of Longitudinal Data (Version 0.2.3)
2017
lulcc : Land Use Change Modelling in R (Version 1.0.4)
2015
maptree : Mapping, Pruning, and Graphing Tree Models (Version 1.4-8)
2000
mboost : Model-Based Boosting (Version 2.9-11)
2006
mcca : Multi-Category Classification Accuracy (Version 0.7.0)
2017
mcboost : Multi-Calibration Boosting (Version 0.4.3)
2021
medflex : Flexible Mediation Analysis Using Natural Effect Models (Version 0.6-10)
2014
memoria : Quantifying Ecological Memory in Palaeoecological Datasets and Other Long Time-Series (Version 1.0.0)
2019
metacart : Meta-CART: A Flexible Approach to Identify Moderators in Meta-Analysis (Version 2.0-3)
2017
mice : Multivariate Imputation by Chained Equations (Version 3.16.0)
2006
miesmuschel : Mixed Integer Evolution Strategies (Version 0.0.4-2)
2022
mikropml : User-Friendly R Package for Supervised Machine Learning Pipelines (Version 1.6.1)
2020
mlearning : Machine Learning Algorithms with Unified Interface and Confusion Matrices (Version 1.2.1)
2013
mlexperiments : Machine Learning Experiments (Version 0.0.4)
2023
mlr3batchmark : Batch Experiments for 'mlr3' (Version 0.1.1)
2023
mlr3 : Machine Learning in R - Next Generation (Version 0.21.1)
2019
mlr3benchmark : Analysis and Visualisation of Benchmark Experiments (Version 0.1.6)
2020
mlr : Machine Learning in R (Version 2.19.2)
2013
mlr3fairness : Fairness Auditing and Debiasing for 'mlr3' (Version 0.3.2)
2022
mlr3fda : Extending 'mlr3' to Functional Data Analysis (Version 0.2.0)
2024
mlr3filters : Filter Based Feature Selection for 'mlr3' (Version 0.8.0)
2019
mlr3fselect : Feature Selection for 'mlr3' (Version 1.2.0)
2020
mlr3hyperband : Hyperband for 'mlr3' (Version 0.6.0)
2020
mlr3mbo : Flexible Bayesian Optimization (Version 0.2.6)
2022
mlr3pipelines : Preprocessing Operators and Pipelines for 'mlr3' (Version 0.7.0)
2019
mlr3resampling : Resampling Algorithms for 'mlr3' Framework (Version 2024.9.6)
2023
mlr3spatial : Support for Spatial Objects Within the 'mlr3' Ecosystem (Version 0.5.0)
2021
mlr3summary : Model and Learner Summaries for 'mlr3' (Version 0.1.0)
2024
mlr3spatiotempcv : Spatiotemporal Resampling Methods for 'mlr3' (Version 2.3.1)
2020
mlr3torch : Deep Learning with 'mlr3' (Version 0.1.2)
2024
mlr3tuning : Hyperparameter Optimization for 'mlr3' (Version 1.0.2)
2019
mlr3tuningspaces : Search Spaces for 'mlr3' (Version 0.5.1)
2021
mlrCPO : Composable Preprocessing Operators and Pipelines for Machine Learning (Version 0.3.7-7)
2018
mlr3viz : Visualizations for 'mlr3' (Version 0.9.0)
2020
mlrMBO : Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions (Version 1.1.5.1)
2017
mlrintermbo : Model-Based Optimization for 'mlr3' Through 'mlrMBO' (Version 0.5.1-1)
2021
mlsurvlrnrs : R6-Based ML Survival Learners for 'mlexperiments' (Version 0.0.4)
2023
monographaR : Taxonomic Monographs Tools (Version 1.3.1)
2015
mosaicModel : An Interface to Statistical Modeling Independent of Model Architecture (Version 0.3.0)
2017
naniar : Data Structures, Summaries, and Visualisations for Missing Data (Version 1.1.0)
2017
offsetreg : An Extension of 'Tidymodels' Supporting Offset Terms (Version 1.1.0)
2024
parallelMap : Unified Interface to Parallelization Back-Ends (Version 1.5.1)
2013
parsnip : A Common API to Modeling and Analysis Functions (Version 1.2.1)
2018
partools : Tools for the 'Parallel' Package (Version 1.1.6)
2015
partykit : A Toolkit for Recursive Partytioning (Version 1.2-22)
2011
pdp : Partial Dependence Plots (Version 0.8.1)
2016
pec : Prediction Error Curves for Risk Prediction Models in Survival Analysis (Version 2023.04.12)
2008
plotBart : Diagnostic and Plotting Functions to Supplement 'bartCause' (Version 0.1.7)
2022
plotmo : Plot a Model's Residuals, Response, and Partial Dependence Plots (Version 3.6.4)
2011
pmml : Generate PMML for Various Models (Version 2.5.2)
2007
ppsr : Predictive Power Score (Version 0.0.5)
2021
pre : Prediction Rule Ensembles (Version 1.0.7)
2016
predReliability : Estimates Reliability of Individual Supervised Learning Predictions (Version 0.1.0)
2020
prediction : Tidy, Type-Safe 'prediction()' Methods (Version 0.3.18)
2016
psica : Decision Tree Analysis for Probabilistic Subgroup Identification with Multiple Treatments (Version 1.0.2)
2018
purge : Purge Training Data from Models (Version 0.2.1)
2015
qeML : Quick and Easy Machine Learning Tools (Version 1.1)
2023
quint : Qualitative Interaction Trees (Version 2.2.2)
2013
radiant.model : Model Menu for Radiant: Business Analytics using R and Shiny (Version 1.6.7)
2016
randomForestVIP : Tune Random Forests Based on Variable Importance & Plot Results (Version 0.1.3)
2023
rattle : Graphical User Interface for Data Science in R (Version 5.5.1)
2013
rbooster : AdaBoost Framework for Any Classifier (Version 1.1.0)
2021
recipes : Preprocessing and Feature Engineering Steps for Modeling (Version 1.1.0)
2017
regclass : Tools for an Introductory Class in Regression and Modeling (Version 1.6)
2016
rgnoisefilt : Elimination of Noisy Samples in Regression Datasets using Noise Filters (Version 1.1.2)
2023
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 1.4.7)
2011
rms : Regression Modeling Strategies (Version 6.8-2)
2009
roseRF : ROSE Random Forests for Robust Semiparametric Efficient Estimation (Version 0.1.0)
2024
rotationForest : Fit and Deploy Rotation Forest Models (Version 0.1.3)
2015
rpart.LAD : Least Absolute Deviation Regression Trees (Version 0.1.3)
2019
rpart.plot : Plot 'rpart' Models: An Enhanced Version of 'plot.rpart' (Version 3.1.2)
2011
rpartScore : Classification Trees for Ordinal Responses (Version 1.0-2)
2012
semtree : Recursive Partitioning for Structural Equation Models (Version 0.9.20)
2016
sense : Automatic Stacked Ensemble for Regression Tasks (Version 1.1.0)
2021
sfsmisc : Utilities from 'Seminar fuer Statistik' ETH Zurich (Version 1.1-19)
2004
shapper : Wrapper of Python Library 'shap' (Version 0.1.3)
2019
sharp : Stability-enHanced Approaches using Resampling Procedures (Version 1.4.6)
2022
shipunov : Miscellaneous Functions from Alexey Shipunov (Version 1.17.1)
2019
simputation : Simple Imputation (Version 0.2.8)
2016
soilassessment : Assessment Models for Agriculture Soil Conditions and Crop Suitability (Version 0.2.6)
2019
spatstat.model : Parametric Statistical Modelling and Inference for the 'spatstat' Family (Version 3.3-2)
2022
spc4sts : Statistical Process Control for Stochastic Textured Surfaces (Version 0.6.3)
2017
sperrorest : Perform Spatial Error Estimation and Variable Importance Assessment (Version 3.0.5)
2012
splinetree : Longitudinal Regression Trees and Forests (Version 0.2.0)
2018
stablelearner : Stability Assessment of Statistical Learning Methods (Version 0.1-5)
2018
stabm : Stability Measures for Feature Selection (Version 1.2.2)
2019
statip : Statistical Functions for Probability Distributions and Regression (Version 0.2.3)
2017
stima : Simultaneous Threshold Interaction Modeling Algorithm (Version 1.2.4)
2013
stream : Infrastructure for Data Stream Mining (Version 2.0-2)
2013
subsemble : An Ensemble Method for Combining Subset-Specific Algorithm Fits (Version 0.1.0)
2014
supclust : Supervised Clustering of Predictor Variables Such as Genes (Version 1.1-1)
2004
superMICE : SuperLearner Method for MICE (Version 1.1.1)
2022
survivalSL : Super Learner for Survival Prediction from Censored Data (Version 0.96)
2023
synthpop : Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control (Version 1.8-0)
2014
tehtuner : Fit and Tune Models to Detect Treatment Effect Heterogeneity (Version 0.3.0)
2022
tidyrules : Utilities to Retrieve Rulelists from Model Fits, Filter, Prune, Reorder and Predict on Unseen Data (Version 0.2.7)
2019
traineR : Predictive (Classification and Regression) Models Homologator (Version 2.2.0)
2019
treeClust : Cluster Distances Through Trees (Version 1.1-7)
2015
treeheatr : Heatmap-Integrated Decision Tree Visualizations (Version 0.2.1)
2020
utiml : Utilities for Multi-Label Learning (Version 0.1.7)
2016
utsf : Univariate Time Series Forecasting (Version 1.0.0)
2024
validatesuggest : Generate Suggestions for Validation Rules (Version 0.3.2)
2023
varbin : Optimal Binning of Continuous and Categorical Variables (Version 0.2.1)
2018
vcrpart : Tree-Based Varying Coefficient Regression for Generalized Linear and Ordinal Mixed Models (Version 1.0-6)
2014
vetiver : Version, Share, Deploy, and Monitor Models (Version 0.2.5)
2021
vip : Variable Importance Plots (Version 0.4.1)
2018
visNetwork : Network Visualization using 'vis.js' Library (Version 2.1.2)
2015
visTree : Visualization of Subgroups for Decision Trees (Version 0.8.1)
2018
xgrove : Explanation Groves (Version 0.1-13)
2023
Showing 1-291 of 291
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