Case studies on model assessment, model selection and inference after model selection
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Jan 9, 2024 - HTML
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variable-selection
Here are 149 public repositories matching this topic...
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
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Oct 2, 2024 - Python
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Nov 26, 2018 - Jupyter Notebook
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
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Dec 10, 2024 - R
Projection predictive variable selection
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Nov 17, 2024 - R
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
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Nov 5, 2024 - HTML
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
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Nov 28, 2024 - R
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
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Jun 7, 2024 - R
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
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Nov 18, 2024 - R
Awesome papers on Feature Selection
awesome correlation variable-selection feature-selection dimensionality-reduction awesome-list mutual-information feature-importance
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Jan 28, 2024
Data preparation for data science projects.
data-science r variable-selection speed data-preprocessing data-preparation date-conversion variable-elimination
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Jul 4, 2023 - R
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
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Aug 8, 2024 - C++
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
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Oct 17, 2023 - R
Stability Selection with Error Control
machine-learning cran variable-importance variable-selection r-language resampling r-package stability-selection
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Jan 28, 2021 - R
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Dec 13, 2019 - Jupyter Notebook
Performs Variables selection and model tuning for Species Distribution Models (SDMs). It provides also several utilities to display results.
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Mar 21, 2024 - R
Python library of algorithms for selecting diverse subsets of data for machine-learning.
variable-selection chemical-diversity compound-selection maximum-diversity-molecule maximum-dissimilarity-search compound-acquisition chemical-library-design
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Oct 10, 2024 - Jupyter Notebook
sliced: scikit-learn compatible sufficient dimension reduction
python machine-learning machine-learning-algorithms variable-selection feature-selection dimensionality-reduction dimension-reduction sufficient-dimension-reduction
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Jul 8, 2024 - Python
Code and simulations using biologically annotated neural networks
machine-learning gwas genetics variable-selection neural-networks bayesian-statistics interpretability gwas-tools
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Aug 23, 2021 - HTML
Code for Variable Selection in Black Box Methods with RelATive cEntrality (RATE) Measures
machine-learning deep-neural-networks genetics variable-importance variable-selection neural-networks kullback-leibler-divergence bayesian-neural-networks gp-regression
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Dec 2, 2020 - Jupyter Notebook
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