variable-selection
There are 149 repositories under variable-selection topic.
avehtari/modelselection
Case studies on model assessment, model selection and inference after model selection
majianthu/pycopent
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
HannaMeyer/CAST
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
stan-dev/projpred
Projection predictive variable selection
boost-R/mboost
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).
merliseclyde/BAS
BAS R package for Bayesian Model Averaging and Variable Selection
majianthu/copent
R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for multivariate normality test and two-sample test
kstawiski/OmicSelector
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.
mlpapers/feature-selection
Awesome papers on Feature Selection
ELToulemonde/dataPreparation
Data preparation for data science projects.
jaredhuling/oem
Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm
boost-R/gamboostLSS
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).
hofnerb/stabs
Stability Selection with Error Control
ConsBiol-unibern/SDMtune
Performs Variables selection and model tuning for Species Distribution Models (SDMs). It provides also several utilities to display results.
joshloyal/sliced
sliced: scikit-learn compatible sufficient dimension reduction
theochem/Selector
Python library of algorithms for selecting diverse subsets of data for machine-learning. Webserver is hosted at https://huggingface.co/spaces/QCDevs/Selector.
lcrawlab/BANNs
Code and simulations using biologically annotated neural networks
lorinanthony/RATE
Code for Variable Selection in Black Box Methods with RelATive cEntrality (RATE) Measures
boost-R/FDboost
Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).
majianthu/aps2020
Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics
Mamba413/bess
Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis
meowoodie/Regularized-RBM
A regularized version of RBM for unsupervised feature selection.
nanxstats/msaenet
š§² Multi-step adaptive estimation for reducing false positive selection in sparse regressions
ducnh279/Variable-Selection-Network-with-PyTorch
Variable Selection Network with PyTorch
lorinanthony/BAKR
Code and Simulations using Bayesian Approximate Kernel Regression (BAKR)
hruffieux/locus
locus R package - Large-scale variational inference for variable selection in sparse multiple-response regression
emirhankartal-py/python_bidirectional_stepwise_selection
Automated Bidirectional Stepwise Selection On Python
slipguru/l1l2py
l1l2py is a Python package to perform variable selection by means of l1l2 regularization with double optimization.
biona001/GhostKnockoffGWAS
Knockoff-based analysis of GWAS summary statistics data
lcrawlab/SINATRA
A statistical framework for feature selection and association mapping with 3D shapes
biona001/Knockoffs.jl
Variable Selection with Knockoffs
htpusa/scanoncorr
Sparse canonical correlation analysis
JacobSeedorff21/BranchGLM
Efficient Variable Selection for GLMs in R
TuoooLiu666/Applied-Biostatistics-Projects
This repository commits to the application of biostatistics knowledge on clinical, randomized trials and observational studies.