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
DOI: 10.32614/CRAN.package.censCov
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


Reference manual: censCov.pdf


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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