variable-selection

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avehtari /modelselection

Star170

Case studies on model assessment, model selection and inference after model selection

variable-selection bayesian stan rstanarm

UpdatedJan 9, 2024
HTML

Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python

python correlation entropy information-theory variable-selection causality copula hypothesis-testing mutual-information changepoint transfer-entropy conditional-mutual-information granger-causality change-detection change-point-detection causal-discovery two-sample-test copula-entropy normality-test conditional-independence-test

UpdatedOct 2, 2024
Python

Sundar0989 /WOE-and-IV

Star136

variable-selection information-value weight-of-evidence iv woe woe-and-iv

UpdatedNov 26, 2018
Jupyter Notebook

HannaMeyer /CAST

Star126

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

machine-learning spatial variable-selection feature-selection caret autocorrelation predictive-modeling spatio-temporal overfitting

UpdatedDec 1, 2025
R

stan-dev /projpred

Sponsor

Star112

Projection predictive variable selection

statistics variable-selection bayesian bayesian-inference stan bayes r-package rstanarm

UpdatedDec 9, 2025
R

boost-R /mboost

Star77

Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).

machine-learning cran tutorials variable-selection gam modelling r-language glm r-package mboost boosting-algorithms

UpdatedNov 5, 2024
HTML

merliseclyde /BAS

Star46

BAS R package for Bayesian Model Averaging and Variable Selection

cran linear-regression regression variable-selection model-selection logistic-regression bayesian bayesian-inference r-package predictive-modeling mcmc generalized-linear-models poisson-regression

UpdatedDec 17, 2025
C

majianthu /copent

Star42

R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for multivariate normality test and two-sample test

r correlation entropy information-theory variable-selection causality copula mutual-information transfer-entropy conditional-mutual-information granger-causality change-point-detection causal-discovery two-sample-test mutualinf copula-entropy normality-test conditional-independence-test

UpdatedJun 7, 2024
R

mlpapers /feature-selection

Star36

Awesome papers on Feature Selection

awesome correlation variable-selection feature-selection dimensionality-reduction awesome-list mutual-information feature-importance

UpdatedJan 28, 2024

kstawiski /OmicSelector

Star35

OmicSelector - Environment, docker-based application and R package for biomarker signiture selection (feature selection) & deep learning diagnostic tool development from high-throughput high-throughput omics experiments and other multidimensional datasets. Initially developed for miRNA-seq, RNA-seq and qPCR.

data-science data-mining bioinformatics rna-seq r deep-neural-networks deep-learning neural-network docker-image next-generation-sequencing variable-selection feature-selection bioinformatics-pipeline classification r-package omics biomarker-discovery qpcr mirna biomarkers

UpdatedNov 5, 2025
R

ELToulemonde /dataPreparation

Star32

Data preparation for data science projects.

data-science r variable-selection speed data-preprocessing data-preparation date-conversion variable-elimination

UpdatedSep 2, 2025
R

theochem /Selector

Star28

Python library for selecting diverse data subsets for machine-learning. Webserver:https://huggingface.co/spaces/QCDevs/Selector.

variable-selection chemical-diversity compound-selection maximum-diversity-molecule maximum-dissimilarity-search compound-acquisition chemical-library-design

UpdatedOct 25, 2025
Jupyter Notebook

jaredhuling /oem

Star27

Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm

machine-learning cran mcp lasso variable-selection scad r-package oem group-lasso penalized-regression oem-algorithm

UpdatedAug 8, 2024
C++

boost-R /gamboostLSS

Star27

Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).

machine-learning cran variable-selection r-language r-package boosting-algorithms gamboostlss gamlss