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.tar.gz(r-4.5-noble)absorber_1.0.tar.gz(r-4.4-noble)
absorber_1.0.tgz(r-4.4-emscripten)absorber_1.0.tgz(r-4.3-emscripten)
absorber.pdf |absorber.html✨
absorber/json (API)

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

Peer review:

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

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

2.00 score 272 downloads 2 exports 61 dependencies

Last updated 9 months agofrom:d9664198bb. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-linuxOKNov 13 2024

Exports:absorberplot_selection

Dependencies:ashbitopscliclustercolorspacecpp11deSolvedotCall64dplyrfansifarverfdafdsFNNgenericsggplot2gluegtablehdrcdeirlbaisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmapurrrR6rainbowRColorBrewerRcppRcppEigenRCurlrlangRSpectrascalessparseglstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

absorber package

Mary E. Savino

Rendered fromabsorber.Rmdusingknitr::knitron Nov 13 2024.

Last update: 2024-02-24
Started: 2024-02-24