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censCov  

Linear Regression with a Randomly Censored Covariate
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("censCov", "1.0-0")



Attach the package and use:
library("censCov")
Maintained by
Sy Han (Steven) Chiou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-04-25
Latest Update: 2017-04-25
Description:
Implementations of threshold regression approaches for linear regression models with a covariate subject to random censoring, including deletion threshold regression and completion threshold regression. Reverse survival regression, which flip the role of response variable and the covariate, is also considered.
How to cite:
Sy Han (Steven) Chiou (2017). censCov: Linear Regression with a Randomly Censored Covariate. R package version 1.0-0, https://cran.r-project.org/web/packages/censCov. Accessed 04 Jan. 2025.
Previous versions and publish date:
No previous versions
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View censCov citation profile
Other R packages that censCov depends, imports, suggests or enhances
Complete documentation for censCov
Functions, R codes and Examples using the censCov R package
Some associated functions: thlm . 
Some associated R codes: summary.R . threshold-reg.R .  Full censCov package functions and examples
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