Package: pqrfe 1.3
pqrfe: Penalized Quantile Regression with Fixed Effects
Quantile regression with fixed effects is a general model for longitudinal data. Here we proposed to solve it by several methods. The estimation methods include three loss functions as check, asymmetric least square and asymmetric Huber functions; and three structures as simple regression, fixed effects and fixed effects with penalized intercepts by LASSO.
Authors:
pqrfe_1.3.tar.gz
pqrfe_1.3.zip(r-4.7)pqrfe_1.3.zip(r-4.6)pqrfe_1.3.zip(r-4.5)
pqrfe_1.3.tgz(r-4.6-x86_64)pqrfe_1.3.tgz(r-4.6-arm64)pqrfe_1.3.tgz(r-4.5-x86_64)pqrfe_1.3.tgz(r-4.5-arm64)
pqrfe_1.3.tar.gz(r-4.7-arm64)pqrfe_1.3.tar.gz(r-4.7-x86_64)pqrfe_1.3.tar.gz(r-4.6-arm64)pqrfe_1.3.tar.gz(r-4.6-x86_64)
pqrfe_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
pqrfe/json (API)
| # Install 'pqrfe' in R: |
| install.packages('pqrfe', 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:e9be905cca. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 142 | ||
| linux-devel-x86_64 | OK | 118 | ||
| source / vignettes | OK | 133 | ||
| linux-release-arm64 | OK | 116 | ||
| linux-release-x86_64 | OK | 135 | ||
| macos-release-arm64 | OK | 120 | ||
| macos-release-x86_64 | OK | 153 | ||
| macos-oldrel-arm64 | OK | 140 | ||
| macos-oldrel-x86_64 | OK | 210 | ||
| windows-devel | OK | 114 | ||
| windows-release | OK | 95 | ||
| windows-oldrel | OK | 93 | ||
| wasm-release | OK | 99 |
Exports:clean_datampqrplot_tauspqr
Dependencies:MASSRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Clean missings | clean_data |
| Multiple penalized quantile regression | mpqr |
| Plot multiple penalized quantile regression | plot_taus |
| Penalized quantile regression with fixed effects | pqr |
