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:
alqrfe_1.3.tar.gz
alqrfe_1.3.zip(r-4.7-x86_64)alqrfe_1.3.zip(r-4.7-arm64)alqrfe_1.3.zip(r-4.6-x86_64)alqrfe_1.3.zip(r-4.6-arm64)alqrfe_1.3.zip(r-4.5-x86_64)
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✨
DESCRIPTION
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:5d053ef2dd. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 111 | ||
| linux-devel-x86_64 | OK | 103 | ||
| source / vignettes | OK | 168 | ||
| linux-release-arm64 | OK | 101 | ||
| linux-release-x86_64 | OK | 101 | ||
| macos-release-arm64 | OK | 123 | ||
| macos-release-x86_64 | OK | 234 | ||
| macos-oldrel-arm64 | OK | 91 | ||
| macos-oldrel-x86_64 | OK | 337 | ||
| windows-devel-arm64 | OK | 334 | ||
| windows-devel-x86_64 | OK | 124 | ||
| windows-release-arm64 | OK | 339 | ||
| windows-release-x86_64 | OK | 104 | ||
| windows-oldrel-x86_64 | OK | 90 | ||
| wasm-release | OK | 104 |
Exports:clean_datamqrmqr_alphaplot_alphaplot_tausqr
Dependencies:MASSRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Clean missings | clean_data |
| multiple penalized quantile regression | mqr |
| multiple penalized quantile regression - alpha | mqr_alpha |
| plot multiple penalized quantile regression - alpha | plot_alpha |
| plot multiple penalized quantile regression | plot_taus |
| quantile regression | qr |