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coxerr: Cox Regression with Dependent Error in Covariates

Perform the functional modeling methods of Huang and Wang (2018) <doi:10.1111/biom.12741> to accommodate dependent error in covariates of the proportional hazards model. The adopted measurement error model has minimal assumptions on the dependence structure, and an instrumental variable is supposed to be available.

Version: 1.1
Depends: R (≥ 2.8.0)
Suggests: knitr, rmarkdown
Published: 2023-06-26
DOI: 10.32614/CRAN.package.coxerr
Author: Yijian Huang [aut, cre, cph]
Maintainer: Yijian Huang <yhuang5 at emory.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: coxerr results

Documentation:

Reference manual: coxerr.pdf
Vignettes: Cox Regression with dependent error in covariates

Downloads:

Package source: coxerr_1.1.tar.gz
Windows binaries: r-devel: coxerr_1.1.zip, r-release: coxerr_1.1.zip, r-oldrel: coxerr_1.1.zip
macOS binaries: r-release (arm64): coxerr_1.1.tgz, r-oldrel (arm64): coxerr_1.1.tgz, r-release (x86_64): coxerr_1.1.tgz, r-oldrel (x86_64): coxerr_1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=coxerr 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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