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Nov 26, 2018 - Jupyter Notebook
variable-selection
Here are 147 public repositories matching this topic...
Case studies on model assessment, model selection and inference after model selection
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Jan 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
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May 27, 2024 - Python
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
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Jun 1, 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).
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Dec 7, 2023 - HTML
Projection predictive variable selection
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Apr 28, 2024 - R
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Dec 13, 2019 - Jupyter Notebook
Methods for selecting diverse (molecular) database.
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Apr 16, 2024 - Jupyter Notebook
BAS R package https://merliseclyde.github.io/BAS/
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Apr 12, 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).
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Oct 17, 2023 - R
Data preparation for data science projects.
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Jul 4, 2023 - R
Stability Selection with Error Control
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Jan 28, 2021 - R
Automated Bidirectional Stepwise Selection On Python
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Jul 4, 2019 - Python
R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for multivariate normality test and two-sample test
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Aug 5, 2023 - R
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
🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions
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May 13, 2024 - R
sliced: scikit-learn compatible sufficient dimension reduction
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Dec 24, 2023 - Python
Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm
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Jul 17, 2023 - C++
Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).
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May 1, 2024 - R
Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics
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May 9, 2022 - R
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