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'))

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 163 downloads 1 exports 0 dependencies

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

TargetResultLatest binary
Doc / VignettesOKFeb 12 2025
R-4.5-linux-x86_64OKFeb 12 2025

Exports:coxerr

Dependencies:

Cox Regression with Dependent Error in Covariates

Yijian Huang ([email protected])

Rendered fromcoxerr.Rmdusingknitr::rmarkdownon Feb 12 2025.

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