Package: coxerr 1.1

Yijian Huang

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.

Authors:Yijian Huang [aut, cre, cph]

coxerr_1.1.tar.gz
coxerr_1.1.tar.gz(r-4.5-noble)coxerr_1.1.tar.gz(r-4.4-noble)
coxerr_1.1.tgz(r-4.4-emscripten)coxerr_1.1.tgz(r-4.3-emscripten)
coxerr.pdf |coxerr.html✨
coxerr/json (API)

# Install 'coxerr' in R:
install.packages('coxerr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

fortran

2.00 score 2 scripts 155 downloads 1 exports 0 dependencies

Last updated 2 years agofrom:a1733c9949. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 14 2024
R-4.5-linux-x86_64OKDec 14 2024

Exports:coxerr

Dependencies:

Cox Regression with Dependent Error in Covariates

Yijian Huang ([email protected])

Rendered fromcoxerr.Rmdusingknitr::rmarkdownon Dec 14 2024.

Last update: 2023-06-26
Started: 2023-06-26