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
purge : Purge Training Data from Models (Version 0.2.1)
2015
qeML : Quick and Easy Machine Learning Tools (Version 1.1)
2023
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)
2003
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
HSAUR2 : A Handbook of Statistical Analyses Using R (2nd Edition) (Version 1.1-20)
2009
HSAUR3 : A Handbook of Statistical Analyses Using R (3rd Edition) (Version 1.0-15)
2014
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 5.2-0)
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
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
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)
2019
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
ReSurv : Machine Learning Models for Predicting Claim Counts (Version 1.0.0)
0
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 2024.11.2)
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)
2016
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
collinear : Automated Multicollinearity Management (Version 2.0.0)
2023
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
embed : Extra Recipes for Encoding Predictors (Version 1.1.4)
2018
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
fastml : Fast Machine Learning Model Training and Evaluation (Version 0.1.0)
0
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 0.1.4)
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 1.2)
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
mcboost : Multi-Calibration Boosting (Version 0.4.3)
2021
mcca : Multi-Category Classification Accuracy (Version 0.7.0)
2017
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
mlr3benchmark : Analysis and Visualisation of Benchmark Experiments (Version 0.1.6)
2020
mlr3 : Machine Learning in R - Next Generation (Version 0.21.1)
2019
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
mlr3fselect : Feature Selection for 'mlr3' (Version 1.2.1)
2020
mlr3filters : Filter Based Feature Selection for 'mlr3' (Version 0.8.1)
2019
mlr3hyperband : Hyperband for 'mlr3' (Version 0.6.0)
2020
mlr3mbo : Flexible Bayesian Optimization (Version 0.2.6)
2022
mlr3resampling : Resampling Algorithms for 'mlr3' Framework (Version 2024.9.6)
2023
mlr3pipelines : Preprocessing Operators and Pipelines for 'mlr3' (Version 0.7.0)
2019
mlr3spatial : Support for Spatial Objects Within the 'mlr3' Ecosystem (Version 0.5.0)
2021
mlr3spatiotempcv : Spatiotemporal Resampling Methods for 'mlr3' (Version 2.3.1)
2020
mlr3summary : Model and Learner Summaries for 'mlr3' (Version 0.1.0)
2024
mlr3torch : Deep Learning with 'mlr3' (Version 0.1.2)
2024
mlr3tuning : Hyperparameter Optimization for 'mlr3' (Version 1.2.0)
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 0.10.0)
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 0.8.2)
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
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 1.4.8)
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 1.1-20)
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 1-294 of 294
RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN).
Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.
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