Package: ProxReg 1.1.2

ProxReg: Linear Models for Prediction and Classification using Proximal Operators

Implements optimization techniques for Lasso regression, R.Tibshirani(1996)<doi:10.1111/j.2517-6161.1996.tb02080.x> using Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) and Iterative Shrinkage-Thresholding Algorithm (ISTA) based on proximal operators, A.Beck(2009)<doi:10.1137/080716542>. The package is useful for high-dimensional regression problems and includes cross-validation procedures to select optimal penalty parameters.

Authors:YingHong Chen [aut, cre], Ferran Reverter Comes [aut], Esteban Vegas Lozano [aut]

ProxReg_1.1.2.tar.gz
ProxReg_1.1.2.zip(r-4.7-any)ProxReg_1.1.2.zip(r-4.6-any)ProxReg_1.1.2.zip(r-4.5-any)
ProxReg_1.1.2.tgz(r-4.6-any)ProxReg_1.1.2.tgz(r-4.5-any)
ProxReg_1.1.2.tar.gz(r-4.7-any)ProxReg_1.1.2.tar.gz(r-4.6-any)
ProxReg_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ProxReg/json (API)

# Install 'ProxReg' in R:

install.packages('ProxReg', repos = c('https://doufu1402.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 3 scripts 220 downloads 14 exports 57 dependencies

Last updated from:72f0b9ca63. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	157
source / vignettes	OK	168
linux-release	OK	193
macos-release	OK	222
macos-oldrel	OK	224
windows-devel	OK	114
windows-release	OK	108
windows-oldrel	OK	106
wasm-release	OK	128

Exports:delete_rect inpainting k_fold_cross l_CV lasso_fista lasso_fista_back lasso_ista lasso_ista_back lasso_multi lasso_multi_back ols ols_KCV ridge softmax

Dependencies:abind base64enc BiocGenerics bitops bslib cachem cli codetools digest dplyr EBImage evaluate fastmap fftwtools fontawesome foreach fs generics glmnet glue highr htmltools htmlwidgets iterators jpeg jquerylib jsonlite knitr lattice lifecycle locfit magrittr Matrix memoise mime pillar pkgconfig png R6 rappdirs Rcpp RcppEigen RCurl rlang rmarkdown sass shape survival tibble tidyselect tiff tinytex utf8 vctrs withr xfun yaml

Manual for the package: ProxReg

Rendered fromProxReg_vignette.Rmdusingknitr::rmarkdown

Last update: 2025-06-17
Started: 2025-06-17

Help page	Topics
rectangular hole in image	delete_rect
image recovery using Lasso regression	inpainting
k_fold_cross	k_fold_cross
K-Fold Cross validation for L1/L2 regression	l_CV
Lasso regression with fixed step with FISTA algorithm	lasso_fista
Lasso regression with backtraking line research with FISTA algorithm	lasso_fista_back
Lasso regression with fixed step with ISTA algorithm	lasso_ista
Lasso regression with backtraking line research	lasso_ista_back
Lasso logistic regression for multinomial response variable with fixed step	lasso_multi
Lasso regression with backtraking line research for multinomial response variable	lasso_multi_back
Ordinary Least Square regression	ols
K-Fold Cross Validation for OLS	ols_KCV
Ridge regression	ridge
Softmax function for multinomial response variable	softmax

Package: ProxReg 1.1.2

ProxReg: Linear Models for Prediction and Classification using Proximal Operators

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)