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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

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=censCov to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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