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cequre  

Censored Quantile Regression & Monotonicity-Respecting Restoring
View on CRAN: Click here


Download and install cequre package within the R console
Install from CRAN:
install.packages("cequre")

Install from Github:
library("remotes")
install_github("cran/cequre")

Install by package version:
library("remotes")
install_version("cequre", "1.5")



Attach the package and use:
library("cequre")
Maintained by
Yijian Huang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-27
Latest Update: 2023-06-22
Description:
Perform censored quantile regression of Huang (2010) , and restore monotonicity respecting via adaptive interpolation for dynamic regression of Huang (2017) . 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) , among others.
How to cite:
Yijian Huang (2023). cequre: Censored Quantile Regression & Monotonicity-Respecting Restoring. R package version 1.5, https://cran.r-project.org/web/packages/cequre. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:25), 1.3 (2023-03-27 14:30), 1.4 (2023-06-09 16:00)
Other packages that cited cequre R package
View cequre citation profile
Other R packages that cequre depends, imports, suggests or enhances
Complete documentation for cequre
Functions, R codes and Examples using the cequre R package
Some associated functions: cequre . monodr . 
Some associated R codes: cequre.R . monodr.R .  Full cequre package functions and examples
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