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.

Version: 1.3
Depends: R (≥ 2.8.0)
Published: 2023-03-27
Author: Yijian Huang
Maintainer: Yijian Huang <yhuang5 at emory.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: cequre results


Reference manual: cequre.pdf


Package source: cequre_1.3.tar.gz
Windows binaries: r-devel: cequre_1.3.zip, r-release: cequre_1.3.zip, r-oldrel: cequre_1.3.zip
macOS binaries: r-release (arm64): cequre_1.3.tgz, r-oldrel (arm64): cequre_1.3.tgz, r-release (x86_64): cequre_1.3.tgz, r-oldrel (x86_64): cequre_1.3.tgz


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