R Package Scholar
28,798
Referenced by ⇅ Year
Biocomb: Feature Selection and Classification with the Embedded Validation Procedures for Biomedical Data Analysis (Version 0.4)

2015
CausalKinetiX: Learning Stable Structures in Kinetic Systems (Version 0.2.1)

2019
ccdf: Distribution-Free Single-Cell Differential Expression Analysis (Version 1.1.4)

2021
crtests: Classification and Regression Tests (Version 0.2.1)

2016
DMLLZU: Double Machine Learning (Version 0.1.1)

2021
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
fieldRS: Remote Sensing Field Work Tools (Version 0.2.3)

2018
foster: Forest Structure Extrapolation with R (Version 0.1.1)

2020
hybridEnsemble: Build, Deploy and Evaluate Hybrid Ensembles (Version 1.7.9)

2013
mistat: Data Sets, Functions and Examples from the Book: "Modern Industrial Statistics" by Kenett, Zacks and Amberti (Version 2.0.4)

2013
modelplotr: Plots to Evaluate the Business Performance of Predictive Models (Version 1.1.0)

2019
mosmafs: Multi-Objective Simultaneous Model and Feature Selection (Version 0.1.2-1)

2020
ParallelDSM: Parallel Digital Soil Mapping using Machine Learning (Version 0.3.7)

2020
psrwe: PS-Integrated Methods for Incorporating RWE in Clinical Studies (Version 3.1)

2020
regfilter: Elimination of Noisy Samples in Regression Datasets using Noise Filters (Version 1.1.1)

2022
RFmerge: Merging of Satellite Datasets with Ground Observations using Random Forests (Version 0.1-10)

2020
rfUtilities: Random Forests Model Selection and Performance Evaluation (Version 2.1-5)

2014
sdmApp: A User-Friendly Application for Species Distribution Modeling (Version 0.0.2)

2021
shinyr: Data Insights Through Inbuilt R Shiny App (Version 0.3.0)

2020
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
VHDClassification: Discrimination/Classification in very high dimension with linear and quadratic rules. (Version 0.3)

2010
zoon: Reproducible, Accessible & Shareable Species Distribution Modelling (Version 0.6.5)

2015
chemmodlab: A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning Models (Version 2.0.0)

2017
climenv: Download, Extract and Visualise Climate and Elevation Data (Version 1.0.0)

2023
mmpf: Monte-Carlo Methods for Prediction Functions (Version 0.0.5)

2016
LDLcalc: Calculate and Predict the Low Density Lipoprotein Values (Version 2.1)

2021
soilassessment: Assessment Models for Agriculture Soil Conditions and Crop Suitability (Version 0.2.6)

2019
breakDown: Model Agnostic Explainers for Individual Predictions (Version 0.2.2)

2018
butcher: Model Butcher (Version 0.3.4)

2019
nlcv: Nested Loop Cross Validation (Version 0.3.5)

2017
nlnet: Nonlinear Network, Clustering, and Variable Selection Based on DCOL (Version 1.4)

2015
nlpred: Estimators of Non-Linear Cross-Validated Risks Optimized for Small Samples (Version 1.0.1)

2019
nonet: Weighted Average Ensemble without Training Labels (Version 0.4.0)

2018
nonlinearICP: Invariant Causal Prediction for Nonlinear Models (Version 0.1.2.1)

2017
nproc: Neyman-Pearson (NP) Classification Algorithms and NP Receiver Operating Characteristic (NP-ROC) Curves (Version 2.1.5)

2016
A3: Accurate, Adaptable, and Accessible Error Metrics for Predictive Models (Version 1.0.0)

2013
ARTtransfer: Adaptive and Robust Pipeline for Transfer Learning (Version 1.0.0)

2024
AutoScore: An Interpretable Machine Learning-Based Automatic Clinical Score Generator (Version 1.0.0)

2021
AzureContainers: Interface to 'Container Instances', 'Docker Registry' and 'Kubernetes' in 'Azure' (Version 1.3.2)

2018
BAGofT: A Binary Regression Adaptive Goodness-of-Fit Test (BAGofT) (Version 1.0.0)

2019
BASiNET: Classification of RNA Sequences using Complex Network Theory (Version 0.0.5)

2017
BASiNETEntropy: Classification of RNA Sequences using Complex Network and Information Theory (Version 0.99.6)

2022
BWGS: BreedWheat Genomic Selection Pipeline (Version 0.2.1)

2020
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
Boruta: Wrapper Algorithm for All Relevant Feature Selection (Version 8.0.0)

2009
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
CAST: 'caret' Applications for Spatial-Temporal Models (Version 1.0.2)

2018
CERFIT: Causal Effect Random Forest of Interaction Tress (Version 0.1.0)

2022
CRE: Interpretable Discovery and Inference of Heterogeneous Treatment Effects (Version 0.2.7)

2022
CompMix: A Comprehensive Toolkit for Environmental Mixtures Analysis ('CompMix') (Version 0.1.0)

2024
CondIndTests: Nonlinear Conditional Independence Tests (Version 0.1.5)

2017
ConfusionTableR: Confusion Matrix Toolset (Version 1.0.4)

2021
DAAG: Data Analysis and Graphics Data and Functions (Version 1.25.6)

2003
DMTL: Tools for Applying Distribution Mapping Based Transfer Learning (Version 0.1.2)

2021
DeepLearningCausal: Causal Inference with Super Learner and Deep Neural Networks (Version 0.0.104)

2024
EFS: Tool for Ensemble Feature Selection (Version 1.0.3)

2016
ENMTools: Analysis of Niche Evolution using Niche and Distribution Models (Version 1.1.2)

2020
EPX: Ensemble of Phalanxes (Version 1.0.4)

2020
EnsembleBase: Extensible Package for Parallel, Batch Training of Base Learners for Ensemble Modeling (Version 1.0.2)

2014
EpiSemble: Ensemble Based Machine Learning Approach for Predicting Methylation States (Version 0.1.1)

2022
ExpImage: Analysis of Images in Experiments (Version 0.10.1)

2021
ExplainPrediction: Explanation of Predictions for Classification and Regression Models (Version 1.3.0)

2015
FAST.R: Analyze and Visualize FAST-Generated Data (Version 0.2.1)

2023
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
FateID: Quantification of Fate Bias in Multipotent Progenitors (Version 0.2.2)

2017
FeatureTerminatoR: Feature Selection Engine to Remove Features with Minimal Predictive Power (Version 1.0.0)

2021
ForestDisc: Forest Discretization (Version 0.1.0)

2020
GB5mcPred: Gradient Boosting Algorithm for Predicting Methylation States (Version 0.1.0)

2023
GIC: A General Iterative Clustering Algorithm (Version 1.0.0)

2021
GMDH2: Binary Classification via GMDH-Type Neural Network Algorithms (Version 1.8)

2018
GROAN: Genomic Regression Workbench (Version 1.3.1)

2017
GiniDistance: A New Gini Correlation Between Quantitative and Qualitative Variables (Version 0.1.1)

2019
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
HaploCatcher: A Predictive Haplotyping Package (Version 1.0.4)

2023
ICEbox: Individual Conditional Expectation Plot Toolbox (Version 1.1.5)

2013
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
JQL: Jump Q-Learning for Individualized Interval-Valued Dose Rule (Version 3.6.9)

2019
LINselect: Selection of Linear Estimators (Version 1.1.5)

2013
LSDirf: Impulse-Response Function Analysis for Agent-Based Models (Version 0.1.3)

2024
LongituRF: Random Forests for Longitudinal Data (Version 0.9)

2020
MBMethPred: Medulloblastoma Subgroups Prediction (Version 0.1.4.2)

2022
MLPUGS: Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains) (Version 0.2.0)

2016
MPV: Data Sets from Montgomery, Peck and Vining (Version 1.64)

2002
MSclassifR: Automated Classification of Mass Spectra (Version 0.3.3)

2022
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 4.6.0)

2005
MixRF: A Random-Forest-Based Approach for Imputing Clustered Incomplete Data (Version 1.0)

2016
ModTools: Building Regression and Classification Models (Version 0.9.13)

2021
ModelMap: Modeling and Map Production using Random Forest and Related Stochastic Models (Version 3.4.0.4)

2009
Modeler: Classes and Methods for Training and Using Binary Prediction Models (Version 3.4.5)

2017
NCSampling: Nearest Centroid (NC) Sampling (Version 1.0)

2017
NicheBarcoding: Niche-model-Based Species Identification (Version 1.0)

2021
OOBCurve: Out of Bag Learning Curve (Version 0.3)

2017
ORION: Ordinal Relations (Version 1.0.3)

2020
OTE: Optimal Trees Ensembles for Regression, Classification and Class Membership Probability Estimation (Version 1.0.1)

2015
OncoSubtype: Predict Cancer Subtypes Based on TCGA Data using Machine Learning Method (Version 1.0.0)

2024
OpEnHiMR: Optimization Based Ensemble Model for Prediction of Histone Modifications in Rice (Version 0.1.1)

2024
OpenML: Open Machine Learning and Open Data Platform (Version 1.12)

2016
POPInf: Assumption-Lean and Data-Adaptive Post-Prediction Inference (Version 1.0.0)

2024
PheVis: Automatic Phenotyping of Electronic Health Record at Visit Resolution (Version 1.0.4)

2021
PhysicalActivity: Process Accelerometer Data for Physical Activity Measurement (Version 0.2-4)

2010
PredPsych: Predictive Approaches in Psychology (Version 0.4)

2017
REPTILE: Regulatory DNA Element Prediction (Version 1.0)

2016
RFclust: Random Forest Cluster Analysis (Version 0.1.2)

2021
RFlocalfdr: Significance Level for Random Forest Impurity Importance Scores (Version 0.8.5)

2023
RLT: Reinforcement Learning Trees (Version 3.2.6)

2017
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
RStoolbox: Remote Sensing Data Analysis (Version 1.0.0)

2015
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
RaceID: Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data (Version 0.3.9)

2018
RandomForestsGLS: Random Forests for Dependent Data (Version 0.1.5)

2021
RclusTool: Graphical Toolbox for Clustering and Classification of Data Frames (Version 0.91.6)

2019
Ricrt: Randomization Inference of Clustered Randomized Trials (Version 0.1.0)

2023
Rtrack: Spatial Navigation Strategy Analysis (Version 2.0.3)

2019
SDMtune: Species Distribution Model Selection (Version 1.3.1)

2019
SSDM: Stacked Species Distribution Modelling (Version 0.2.9)

2016
SSLR: Semi-Supervised Classification, Regression and Clustering Methods (Version 0.9.3.3)

2020
STGS: Genomic Selection using Single Trait (Version 0.1.0)

2019
SmartMeterAnalytics: Methods for Smart Meter Data Analysis (Version 1.0.3)

2020
SpatialML: Spatial Machine Learning (Version 0.1.7)

2019
Sstack: Bootstrap Stacking of Random Forest Models for Heterogeneous Data (Version 1.0.1)

2018
SuperLearner: Super Learner Prediction (Version 2.0-29)

2011
SweepDiscovery: Selective Sweep Discovery Tool (Version 0.1.1)

2023
SynDI: Synthetic Data Integration (Version 0.1.0)

2022
TIGERr: Technical Variation Elimination with Ensemble Learning Architecture (Version 1.0.0)

2021
TSPred: Functions for Benchmarking Time Series Prediction (Version 5.1)

2015
TriMatch: Propensity Score Matching of Non-Binary Treatments (Version 0.9.9)

2013
TunePareto: Multi-Objective Parameter Tuning for Classifiers (Version 2.5.3)

2010
UBL: An Implementation of Re-Sampling Approaches to Utility-Based Learning for Both Classification and Regression Tasks (Version 0.0.9)

2016
VMDML: Variational Mode Decomposition Based Machine Learning Models (Version 0.1.1)

2022
VSURF: Variable Selection Using Random Forests (Version 1.2.0)

2013
WMAP: Weighted Meta-Analysis with Pseudo-Populations (Version 1.1.0)

2024
WaveletRF: Wavelet-RF Hybrid Model for Time Series Forecasting (Version 0.1.0)

2022
aLFQ: Estimating Absolute Protein Quantities from Label-Free LC-MS/MS Proteomics Data (Version 1.3.6)

2013
aRtsy: Generative Art with 'ggplot2' (Version 1.0.0)

2021
aVirtualTwins: Adaptation of Virtual Twins Method from Jared Foster (Version 1.0.1)

2016
acumos: 'Acumos' R Interface (Version 0.4-4)

2020
aloom: All Leave-One-Out Models (Version 0.1.1)

2023
alookr: Model Classifier for Binary Classification (Version 0.3.9)

2020
assignPOP: Population Assignment using Genetic, Non-Genetic or Integrated Data in a Machine Learning Framework (Version 1.3.0)

2016
auditor: Model Audit - Verification, Validation, and Error Analysis (Version 1.3.5)

2018
banter: BioAcoustic eveNT classifiER (Version 0.9.6)

2018
bartMachine: Bayesian Additive Regression Trees (Version 1.3.4.1)

2013
binomialRF: Binomial Random Forest Feature Selection (Version 0.1.0)

2020
biomod2: Ensemble Platform for Species Distribution Modeling (Version 4.2-5-2)

2012
caret: Classification and Regression Training (Version 7.0-1)

2007
caretEnsemble: Ensembles of Caret Models (Version 4.0.1)

2015
cat2cat: Handling an Inconsistently Coded Categorical Variable in a Longitudinal Dataset (Version 0.4.7)

2020
cem: Coarsened Exact Matching (Version 1.1.31)

2008
ceterisParibus: Ceteris Paribus Profiles (Version 0.6)

2018
classmap: Visualizing Classification Results (Version 1.2.3)

2021
conTree: Contrast Trees and Boosting (Version 0.3-1)

2023
condvis2: Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny (Version 0.1.2)

2019
conformalClassification: Transductive and Inductive Conformal Predictions for Classification Problems (Version 1.0.0)

2017
cornet: Penalised Regression for Dichotomised Outcomes (Version 1.0.0)

2019
countSTAR: Flexible Modeling of Count Data (Version 1.0.2)

2023
counterfactuals: Counterfactual Explanations (Version 0.1.6)

2023
cpfa: Classification with Parallel Factor Analysis (Version 1.1-6)

2022
cpt: Classification Permutation Test (Version 1.0.2)

2017
creditmodel: Toolkit for Credit Modeling, Analysis and Visualization (Version 1.3.1)

2019
curvir: Specify Reserve Demand Curves (Version 0.1.1)

2023
cvms: Cross-Validation for Model Selection (Version 1.6.2)

2019
daltoolbox: Leveraging Experiment Lines to Data Analytics (Version 1.1.727)

2023
dendroTools: Linear and Nonlinear Methods for Analyzing Daily and Monthly Dendroclimatological Data (Version 1.2.13)

2017
dismo: Species Distribution Modeling (Version 1.3-16)

2010
dissever: Spatial Downscaling using the Dissever Algorithm (Version 0.2-3)

2017
dlookr: Tools for Data Diagnosis, Exploration, Transformation (Version 0.6.3)

2018
dmlalg: Double Machine Learning Algorithms (Version 1.0.2)

2021
doMPI: Foreach Parallel Adaptor for the Rmpi Package (Version 0.2.2)

2009
driveR: Prioritizing Cancer Driver Genes Using Genomics Data (Version 0.4.1)

2020
dsld: Data Science Looks at Discrimination (Version 0.2.2)

2024
dyn: Time Series Regression (Version 0.2-9.6)

2005
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
ecospat: Spatial Ecology Miscellaneous Methods (Version 4.1.1)

2014
ecr: Evolutionary Computation in R (Version 2.1.1)

2016
evalITR: Evaluating Individualized Treatment Rules (Version 1.0.0)

2020
explore: Simplifies Exploratory Data Analysis (Version 1.3.3)

2019
fdm2id: Data Mining and R Programming for Beginners (Version 0.9.9)

2019
featurefinder: Feature Finder (Version 1.1)

2018
flowml: A Backend for a 'nextflow' Pipeline that Performs Machine-Learning-Based Modeling of Biomedical Data (Version 0.1.3)

2023
foreach: Provides Foreach Looping Construct (Version 1.5.2)

2009
forecastML: Time Series Forecasting with Machine Learning Methods (Version 0.9.0)

2019
forestControl: Approximate False Positive Rate Control in Selection Frequency for Random Forest (Version 0.2.2)

2018
forestError: A Unified Framework for Random Forest Prediction Error Estimation (Version 1.1.0)

2020
fscaret: Automated Feature Selection from 'caret' (Version 0.9.4.4)

2013
fuzzyforest: Fuzzy Forests (Version 1.0.8)

2016
gamclass: Functions and Data for a Course on Modern Regression and Classification (Version 0.62.5)

2012
geomod: A Computer Program for Geotechnical Investigations (Version 0.1.0)

2023
gfoRmula: Parametric G-Formula (Version 1.1.0)

2019
ggRandomForests: Visually Exploring Random Forests (Version 2.2.1)

2014
ggResidpanel: Panels and Interactive Versions of Diagnostic Plots using 'ggplot2' (Version 0.3.0)

2019
ggscidca: Plotting Decision Curve Analysis with Coloured Bars (Version 0.2.3)

2024
hdcate: Estimation of Conditional Average Treatment Effects with High-Dimensional Data (Version 0.1.0)

2022
iBreakDown: Model Agnostic Instance Level Variable Attributions (Version 2.1.2)

2019
iimi: Identifying Infection with Machine Intelligence (Version 1.2.1)

2024
iml: Interpretable Machine Learning (Version 0.11.3)

2018
imputeMissings: Impute Missing Values in a Predictive Context (Version 0.0.4)

2015
interpretR: Binary Classifier and Regression Model Interpretation Functions (Version 0.2.5)

2014
ipd: Inference on Predicted Data (Version 0.1.3)

2024
ipred: Improved Predictors (Version 0.9-15)

2002
ivitr: Estimate IV-Optimal Individualized Treatment Rules (Version 0.1.0)

2020
kernelFactory: Kernel Factory: An Ensemble of Kernel Machines (Version 0.3.0)

2012
klaR: Classification and Visualization (Version 1.7-3)

2004
less: Learning with Subset Stacking (Version 0.1.0)

2022
localICE: Local Individual Conditional Expectation (Version 0.1.1)

2019
localModel: LIME-Based Explanations with Interpretable Inputs Based on Ceteris Paribus Profiles (Version 0.5)

2019
lolR: Linear Optimal Low-Rank Projection (Version 2.1)

2018
lulcc: Land Use Change Modelling in R (Version 1.0.4)

2015
m2b: Movement to Behaviour Inference using Random Forest (Version 1.0)

2017
mboost: Model-Based Boosting (Version 2.9-11)

2006
memoria: Quantifying Ecological Memory in Palaeoecological Datasets and Other Long Time-Series (Version 1.0.0)

2019
metaEnsembleR: Automated Intuitive Package for Meta-Ensemble Learning (Version 0.1.0)

2020
metamicrobiomeR: Microbiome Data Analysis & Meta-Analysis with GAMLSS-BEZI & Random Effects (Version 1.2)

2019
mice: Multivariate Imputation by Chained Equations (Version 3.17.0)

2006
microbial: Do 16s Data Analysis and Generate Figures (Version 0.0.21)

2020
microeco: Microbial Community Ecology Data Analysis (Version 1.10.0)

2020
mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines (Version 1.6.1)

2020
missForest: Nonparametric Missing Value Imputation using Random Forest (Version 1.5)

2011
mlearning: Machine Learning Algorithms with Unified Interface and Confusion Matrices (Version 1.2.1)

2013
mlmts: Machine Learning Algorithms for Multivariate Time Series (Version 1.1.2)

2022
mlquantify: Algorithms for Class Distribution Estimation (Version 0.2.0)

2020
mlr: Machine Learning in R (Version 2.19.2)

2013
mlrCPO: Composable Preprocessing Operators and Pipelines for Machine Learning (Version 0.3.7-7)

2018
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
modeltime: The Tidymodels Extension for Time Series Modeling (Version 1.3.1)

2020
mosaicModel: An Interface to Statistical Modeling Independent of Model Architecture (Version 0.3.0)

2017
mt: Metabolomics Data Analysis Toolbox (Version 2.0-1.20)

2021
multivarious: Extensible Data Structures for Multivariate Analysis (Version 0.2.0)

2024
needmining: A Simple Needmining Implementation (Version 0.1.1)

2019
nestedcv: Nested Cross-Validation with 'glmnet' and 'caret' (Version 0.7.12)

2022
omu: A Metabolomics Analysis Tool for Intuitive Figures and Convenient Metadata Collection (Version 1.1.2)

2018
oosse: Out-of-Sample R² with Standard Error Estimation (Version 1.0.11)

2023
optBiomarker: Estimation of Optimal Number of Biomarkers for Two-Group Microarray Based Classifications at a Given Error Tolerance Level for Various Classification Rules (Version 1.0-28)

2009
origami: Generalized Framework for Cross-Validation (Version 1.0.7)

2017
pRF: Permutation Significance for Random Forests (Version 1.2)

2015
pander: An R 'Pandoc' Writer (Version 0.6.5)

2012
parameters: Processing of Model Parameters (Version 0.24.0)

2019
parcats: Interactive Parallel Categories Diagrams for 'easyalluvial' (Version 0.0.5)

2019
party: A Laboratory for Recursive Partytioning (Version 1.3-17)

2005
partykit: A Toolkit for Recursive Partytioning (Version 1.2-23)

2011
pathwayTMB: Pathway Based Tumor Mutational Burden (Version 0.1.3)

2021
pctax: Professional Comprehensive Omics Data Analysis (Version 0.1.3)

2024
pdi: Phenotypic Index Measures for Oak Decline Severity (Version 0.4.2)

2020
pdp: Partial Dependence Plots (Version 0.8.2)

2016
performanceEstimation: An Infra-Structure for Performance Estimation of Predictive Models (Version 1.1.0)

2013
performance: Assessment of Regression Models Performance (Version 0.12.4)

2019
permimp: Conditional Permutation Importance (Version 1.0-2)

2020
pheble: Classifying High-Dimensional Phenotypes with Ensemble Learning (Version 0.1.0)

2023
pmml: Generate PMML for Various Models (Version 2.5.2)

2007
pomodoro: Predictive Power of Linear and Tree Modeling (Version 3.8.0)

2022
posterior: Tools for Working with Posterior Distributions (Version 1.6.0)

2021
practicalSigni: Practical Significance Ranking of Regressors and Exact t Density (Version 0.1.2)

2023
probably: Tools for Post-Processing Predicted Values (Version 1.0.3)

2018
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
quantregForest: Quantile Regression Forests (Version 1.3-7.1)

2006
r2pmml: Convert R Models to PMML (Version 0.29.0)

2019
rQSAR: QSAR Modeling with Multiple Algorithms: MLR, PLS, and Random Forest (Version 1.0.0)

2024
rSAFE: Surrogate-Assisted Feature Extraction (Version 0.1.4)

2021
randomForestExplainer: Explaining and Visualizing Random Forests in Terms of Variable Importance (Version 0.10.1)

2017
randomForestVIP: Tune Random Forests Based on Variable Importance & Plot Results (Version 0.1.3)

2023
rasclass: Supervised Raster Image Classification (Version 0.2.2)

2011
rattle: Graphical User Interface for Data Science in R (Version 5.5.1)

2013
raw: R Actuarial Workshops (Version 0.1.8)

2016
regclass: Tools for an Introductory Class in Regression and Modeling (Version 1.6)

2016
rfPermute: Estimate Permutation p-Values for Random Forest Importance Metrics (Version 2.5.2)

2011
rfVarImpOOB: Unbiased Variable Importance for Random Forests (Version 1.0.3)

2019
rfviz: Interactive Visualization Tool for Random Forests (Version 1.0.1)

2018
rgnoisefilt: Elimination of Noisy Samples in Regression Datasets using Noise Filters (Version 1.1.2)

2023
riAFTBART: A Flexible Approach for Causal Inference with Multiple Treatments and Clustered Survival Outcomes (Version 0.3.3)

2022
riskRegression: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks (Version 2023.12.21)

2011
rjaf: Regularized Joint Assignment Forest with Treatment Arm Clustering (Version 0.1.1)

2024
rminer: Data Mining Classification and Regression Methods (Version 1.4.8)

2011
scorecardModelUtils: Credit Scorecard Modelling Utils (Version 0.0.1.0)

2018
seAMLess: A Single Cell Transcriptomics Based Deconvolution Pipeline for Leukemia (Version 0.1.1)

2022
see: Model Visualisation Toolbox for 'easystats' and 'ggplot2' (Version 0.9.0)

2019
seer: Feature-Based Forecast Model Selection (Version 1.1.8)

2020
sentometrics: An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction (Version 1.0.0)

2017
shapper: Wrapper of Python Library 'shap' (Version 0.1.3)

2019
shipunov: Miscellaneous Functions from Alexey Shipunov (Version 1.17.1)

2019
sigInt: Estimate the Parameters of a Discrete Crisis-Bargaining Game (Version 0.2.0)

2019
simputation: Simple Imputation (Version 0.2.8)

2016
sits: Satellite Image Time Series Analysis for Earth Observation Data Cubes (Version 1.5.1)

2022
smdi: Perform Structural Missing Data Investigations (Version 0.3.1)

2023
sovereign: State-Dependent Empirical Analysis (Version 1.2.1)

2021
spikeslab: Prediction and Variable Selection Using Spike and Slab Regression (Version 1.1.6)

2010
spm: Spatial Predictive Modeling (Version 1.2.2)

2017
spm2: Spatial Predictive Modeling (Version 1.1.3)

2021
stablelearner: Stability Assessment of Statistical Learning Methods (Version 0.1-5)

2018
stars: Spatiotemporal Arrays, Raster and Vector Data Cubes (Version 0.6-7)

2018
statVisual: Statistical Visualization Tools (Version 1.2.1)

2019
steprf: Stepwise Predictive Variable Selection for Random Forest (Version 1.0.2)

2021
stratamatch: Stratification and Matching for Large Observational Data Sets (Version 0.1.9)

2019
strip: Lighten your R Model Outputs (Version 1.0.0)

2017
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
swag: Sparse Wrapper Algorithm (Version 0.1.0)

2020
synthesizer: Synthesize Data Based on Empirical Quantile Functions and Rank Order Matching (Version 0.3.1)

2024
synthpop: Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control (Version 1.8-0)

2014
tRigon: Toolbox for Integrative Pathomics Analysis (Version 0.3.3)

2023
tashu: Analysis and Prediction of Bicycle Rental Amount (Version 0.1.1)

2019
text: Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning (Version 1.3.0)

2020
tidyAML: Automatic Machine Learning with 'tidymodels' (Version 0.0.5)

2023
tidyfit: Regularized Linear Modeling with Tidy Data (Version 0.7.2)

2022
tidypredict: Run Predictions Inside the Database (Version 0.5)

2018
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
tree.interpreter: Random Forest Prediction Decomposition and Feature Importance Measure (Version 0.1.1)

2019
treeshap: Compute SHAP Values for Your Tree-Based Models Using the 'TreeSHAP' Algorithm (Version 0.3.1)

2023
triplot: Explaining Correlated Features in Machine Learning Models (Version 1.3.0)

2020
utiml: Utilities for Multi-Label Learning (Version 0.1.7)

2016
varSelRF: Variable Selection using Random Forests (Version 0.7-8)

2005
vip: Variable Importance Plots (Version 0.4.1)

2018
visaOTR: Valid Improved Sparsity A-Learning for Optimal Treatment Decision (Version 0.1.0)

2022
visualpred: Visualization 2D of Binary Classification Models (Version 0.1.1)

2020
vita: Variable Importance Testing Approaches (Version 1.0.0)

2015
vivo: Variable Importance via Oscillations (Version 0.2.1)

2019
vivid: Variable Importance and Variable Interaction Displays (Version 0.2.9)

2021
vtype: Estimates the Variable Type in Error Afflicted Data (Version 0.8)

2021
waves: Vis-NIR Spectral Analysis Wrapper (Version 0.2.5)

2020
webSDM: Including Known Interactions in Species Distribution Models (Version 1.1-5)

2022
wsrf: Weighted Subspace Random Forest for Classification (Version 1.7.30)

2014
xLLiM: High Dimensional Locally-Linear Mapping (Version 2.3)

2016
xgrove: Explanation Groves (Version 0.1-13)

2023
yaImpute: Nearest Neighbor Observation Imputation and Evaluation Tools (Version 1.0-34.1)

2007

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