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Search results for variable selection
variable-selection
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29 search results found
Projpred
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106
Projection predictive variable selection
Pycopent
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101
Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Independence), and the statistics for multivariate normality test and two-sample test in Python
Cast
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93
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
Mboost
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70
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).
Bas
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41
BAS R package https://merliseclyde.github.io/BAS/
Copent
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35
R package for estimating copula entropy (mutual information), transfer entropy (conditional independence), and the statistic for multivariate normality test and two-sample test
Datapreparation
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30
Data preparation for data science projects.
Omicselector
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26
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.
Gamboostlss
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24
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).
Oem
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21
Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm
Stabs
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20
Stability Selection with Error Control
Sdmtune
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20
Performs Variables selection and model tuning for Species Distribution Models (SDMs). It provides also several utilities to display results.
Fdboost
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13
Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).
Bess
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12
Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis
Msaenet
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12
🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions
Aps2020
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11
Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics
Rate
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10
Code for Variable Selection in Black Box Methods with RelATive cEntrality (RATE) Measures
Selector
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10
Methods for selecting diverse (molecular) database.
Banns
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10
Code and simulations using Biologically Annotated Neural Networks (BANNs)
Locus
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9
locus R package - Large-scale variational inference for variable selection in sparse multiple-response regression
Sinatra
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8
A statistical framework for feature selection and association mapping with 3D shapes
Bakr
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8
Code and Simulations using Bayesian Approximate Kernel Regression (BAKR)
Regularized Rbm
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7
A regularized version of RBM for unsupervised feature selection.
L1l2py
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7
l1l2py is a Python package to perform variable selection by means of l1l2 regularization with double optimization.
Ohpl
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5
Ordered Homogeneity Pursuit Lasso for Group Variable Selection
Cdcsis
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5
Conditional Distance Correlation based Statistical Method
Bcpm Msaenet
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5
Solution for the precisionFDA Brain Cancer Predictive Modeling Challenge using msaenet
Scanoncorr
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5
Sparse canonical correlation analysis
Vennlasso
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5
Variable selection for heterogeneous populations using the vennLasso penalty
Related Searches
R Variable Selection (27)
Machine Learning Variable Selection (18)
1-29 of 29 search results
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