Package: pqrfe 1.1
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_1.1.tar.gz
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pqrfe_1.1.tgz(r-4.4-x86_64)pqrfe_1.1.tgz(r-4.4-arm64)pqrfe_1.1.tgz(r-4.3-x86_64)pqrfe_1.1.tgz(r-4.3-arm64)
pqrfe_1.1.tar.gz(r-4.5-noble)pqrfe_1.1.tar.gz(r-4.4-noble)
pqrfe_1.1.tgz(r-4.4-emscripten)pqrfe_1.1.tgz(r-4.3-emscripten)
pqrfe.pdf |pqrfe.html✨
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 2 years agofrom:2cf24488b5. Checks:OK: 1 NOTE: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 21 2024 |
| R-4.5-win-x86_64 | NOTE | Nov 21 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 21 2024 |
| R-4.4-win-x86_64 | NOTE | Nov 21 2024 |
| R-4.4-mac-x86_64 | NOTE | Nov 21 2024 |
| R-4.4-mac-aarch64 | NOTE | Nov 21 2024 |
| R-4.3-win-x86_64 | NOTE | Nov 21 2024 |
| R-4.3-mac-x86_64 | NOTE | Nov 21 2024 |
| R-4.3-mac-aarch64 | NOTE | Nov 21 2024 |
Exports:check_lambdachoice_pclean_datad_psi_alsd_psi_mqf_denf_tabloss_erloss_erfeloss_erlassoloss_mqrloss_mqrfeloss_mqrlassoloss_qrloss_qrfeloss_qrlassompqroptim_eroptim_erfeoptim_erlassooptim_mqroptim_mqrfeoptim_mqrlassooptim_qroptim_qrfeoptim_qrlassoplot_tauspqrprint.PQRpsi_alspsi_mqq_covrho_koenkerrho_mqsgf
Dependencies:MASSRcppRcppArmadillo
