Installation | Censored quantile regression of Huang (2010) | Restoration of monotonicity respecting using adaptive interpolation of Huang (2017) | References
Package: cequre 1.5
Yijian Huang
cequre: Censored Quantile Regression & Monotonicity-Respecting Restoring
Perform censored quantile regression of Huang (2010) <doi:10.1214/09-AOS771>, and restore monotonicity respecting via adaptive interpolation for dynamic regression of Huang (2017) <doi:10.1080/01621459.2016.1149070>. The monotonicity-respecting restoration applies to general dynamic regression models including (uncensored or censored) quantile regression model, additive hazards model, and dynamic survival models of Peng and Huang (2007) <doi:10.1093/biomet/asm058>, among others.
Authors:
cequre_1.5.tar.gz
cequre_1.5.tar.gz(r-4.7-arm64)cequre_1.5.tar.gz(r-4.7-x86_64)cequre_1.5.tar.gz(r-4.6-arm64)cequre_1.5.tar.gz(r-4.6-x86_64)
cequre_1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
cequre/json (API)
| # Install 'cequre' in R: |
| install.packages('cequre', repos = c('https://cran.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:cd7044a651. Checks:4 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 174 | ||
| linux-devel-x86_64 | NOTE | 117 | ||
| source / vignettes | OK | 170 | ||
| linux-release-arm64 | NOTE | 171 | ||
| linux-release-x86_64 | NOTE | 131 | ||
| wasm-release | OK | 100 |
Dependencies:
