censCov: Linear Regression with a Randomly Censored Covariate

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.

Version:	1.0-0
Imports:	survival
Published:	2017-04-25
Author:	Jing Qian, Sy Han (Steven) Chiou
Maintainer:	Sy Han (Steven) Chiou <schiou at hsph.harvard.edu>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	censCov results

Documentation:

Reference manual:

censCov.pdf

Downloads:

Package source:	censCov_1.0-0.tar.gz
Windows binaries:	r-devel: censCov_1.0-0.zip, r-release: censCov_1.0-0.zip, r-oldrel: censCov_1.0-0.zip
macOS binaries:	r-release (arm64): censCov_1.0-0.tgz, r-oldrel (arm64): censCov_1.0-0.tgz, r-release (x86_64): censCov_1.0-0.tgz, r-oldrel (x86_64): censCov_1.0-0.tgz

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