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cequre

Censored Quantile Regression & Monotonicity-Respecting Restoring

Installation

About

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.

Key Metrics

Version 1.5
R ≥ 2.8.0
Published 2023-06-22 321 days ago
Needs compilation? yes
License GPL-2
License GPL-3
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Maintainer

Maintainer

Yijian Huang

yhuang5@emory.edu

Authors

Yijian Huang

Material

Reference manual
Package source

Vignettes

Censored Quantile Regression & Monotonicity-Respecting Restoring

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

cequre archive

Depends

R ≥ 2.8.0

Suggests

knitr
rmarkdown
survival