Package: alqrfe 1.3

alqrfe: Adaptive Lasso Quantile Regression with Fixed Effects

Quantile regression with fixed effects solves longitudinal data, considering the individual intercepts as fixed effects. The parametric set of this type of problem used to be huge. Thus penalized methods such as Lasso are currently applied. Adaptive Lasso presents oracle proprieties, which include Gaussianity and correct model selection. Bayesian information criteria (BIC) estimates the optimal tuning parameter lambda. Plot tools are also available.

Authors:Ian Meneghel Danilevicz [aut, cre], Pascal Bondon [aut], Valderio A. Reisen [aut]

alqrfe_1.3.tar.gz
alqrfe_1.3.zip(r-4.7)alqrfe_1.3.zip(r-4.6)alqrfe_1.3.zip(r-4.5)
alqrfe_1.3.tgz(r-4.6-x86_64)alqrfe_1.3.tgz(r-4.6-arm64)alqrfe_1.3.tgz(r-4.5-x86_64)alqrfe_1.3.tgz(r-4.5-arm64)
alqrfe_1.3.tar.gz(r-4.7-arm64)alqrfe_1.3.tar.gz(r-4.7-x86_64)alqrfe_1.3.tar.gz(r-4.6-arm64)alqrfe_1.3.tar.gz(r-4.6-x86_64)
alqrfe_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
alqrfe/json (API)

# Install 'alqrfe' in R:
install.packages('alqrfe', repos = c('https://iandanilevicz.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

cpp

1.30 score 1 scripts 231 downloads 6 exports 3 dependencies

Last updated from:5d053ef2dd. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK113
linux-devel-x86_64OK118
source / vignettesOK170
linux-release-arm64OK121
linux-release-x86_64OK116
macos-release-arm64OK136
macos-release-x86_64OK302
macos-oldrel-arm64OK151
macos-oldrel-x86_64OK216
windows-develOK125
windows-releaseOK84
windows-oldrelOK87
wasm-releaseOK105

Exports:clean_datamqrmqr_alphaplot_alphaplot_tausqr

Dependencies:MASSRcppRcppArmadillo