absorber: Variable Selection in Nonparametric Models using B-Splines

Package: absorber 1.0

Mary E. Savino

absorber: Variable Selection in Nonparametric Models using B-Splines

A variable selection method using B-Splines in multivariate nOnparametric Regression models Based on partial dErivatives Regularization (ABSORBER) implements a novel variable selection method in a nonlinear multivariate model using B-splines. For further details we refer the reader to the paper Savino, M. E. and Lévy-Leduc, C. (2024), <https://hal.science/hal-04434820>.

Authors:Mary E. Savino [aut, cre], Celine Levy-Leduc [ctb]

absorber_1.0.tar.gz
absorber_1.0.zip(r-4.7-any)absorber_1.0.zip(r-4.6-any)
absorber_1.0.tar.gz(r-4.7-any)absorber_1.0.tar.gz(r-4.6-any)
absorber_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
absorber/json (API)

# Install 'absorber' in R:

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

Datasets:

x_obs - Observation matrix x of five variables
y_obs - Values of the response variable of the noisy observation set of five input variables

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 348 downloads 2 exports 60 dependencies

Last updated from:d9664198bb. Checks:6 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	169
source / vignettes	OK	193
linux-release	OK	173
windows-devel	OK	108
windows-release	OK	129
wasm-release	OK	112

Exports:absorber plot_selection

Dependencies:ash bitops cli cluster colorspace cpp11 deSolve dotCall64 dplyr farver fda fds FNN generics ggplot2 glue gtable hdrcde irlba isoband kernlab KernSmooth ks labeling lattice lifecycle locfit magrittr MASS Matrix mclust mgcv multicool mvtnorm nlme pcaPP pillar pkgconfig pracma purrr R6 rainbow RColorBrewer Rcpp RcppEigen RCurl rlang RSpectra S7 scales sparsegl stringi stringr tibble tidyr tidyselect utf8 vctrs viridisLite withr

absorber package

Introduction | Installing | Variable selection | Description of the dataset | Application of $\texttt{absorber}$ to select the relevant variables | Visualization of the percentage of selection for each variable with $\texttt{plot_selection}$

Rendered fromabsorber.Rmdusingknitr::knitr

Help page	Topics
Variable Selection in Nonparametric Models using B-Splines	absorber-package
Variable selection in nonparametric models	absorber
Visualization of the selected variables	plot_selection
Observation matrix x of five variables	x_obs
Values of the response variable of the noisy observation set of five input variables	y_obs

Help page

Topics

Variable Selection in Nonparametric Models using B-Splines

absorber-package

Variable selection in nonparametric models

absorber

Visualization of the selected variables

plot_selection

Observation matrix x of five variables

x_obs

Values of the response variable of the noisy observation set of five input variables

y_obs