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:Yijian Huang <[email protected]>

cequre_1.5.tar.gz
cequre_1.5.tar.gz(r-4.5-noble)cequre_1.5.tar.gz(r-4.4-noble)
cequre_1.5.tgz(r-4.4-emscripten)cequre_1.5.tgz(r-4.3-emscripten)
cequre.pdf |cequre.html✨
cequre/json (API)

# Install 'cequre' in R:
install.packages('cequre', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

fortran

2.00 score 3 scripts 218 downloads 2 exports 0 dependencies

Last updated 2 years agofrom:cd7044a651. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 09 2024
R-4.5-linux-x86_64NOTEDec 09 2024

Exports:cequremonodr

Dependencies:

Censored Quantile Regression & Monotonicity-Respecting Restoring

Yijian Huang ([email protected])

Rendered fromcequre.Rmdusingknitr::rmarkdownon Dec 09 2024.

Last update: 2023-06-22
Started: 2023-06-22