Package: ICODS 1.2

ICODS: Data Analysis for ODS and Case-Cohort Designs with Interval-Censoring

Sieve semiparametric likelihood methods for analyzing interval-censored failure time data from an outcome-dependent sampling (ODS) design and from a case-cohort design. Zhou, Q., Cai, J., and Zhou, H. (2018) <doi:10.1111/biom.12744>; Zhou, Q., Zhou, H., and Cai, J. (2017) <doi:10.1093/biomet/asw067>.

Authors:Shannon T. Holloway [aut, cre], Qingning Zhou [aut], Jianwen Cai [aut], Haibo Zhou [aut]

ICODS_1.2.tar.gz
ICODS_1.2.zip(r-4.7-any)ICODS_1.2.zip(r-4.6-any)ICODS_1.2.zip(r-4.5-any)
ICODS_1.2.tgz(r-4.6-any)ICODS_1.2.tgz(r-4.5-any)
ICODS_1.2.tar.gz(r-4.7-any)ICODS_1.2.tar.gz(r-4.6-any)
ICODS_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ICODS/json (API)

# Install 'ICODS' in R:
install.packages('ICODS', repos = c('https://sth1402.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • ccData - Toy Example for Case-Cohort Design with Interval-Censored Data
  • odsData - Toy Example for ODS Design with Interval-Censored Data

On CRAN:

Conda:

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

1.00 score 390 downloads 9 exports 1 dependencies

Last updated from:38b8f4e77e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK94
source / vignettesOK202
linux-releaseOK92
macos-releaseOK96
macos-oldrelOK102
windows-develOK50
windows-releaseOK65
windows-oldrelOK60
wasm-releaseOK70

Exports:CaseCohortICestimateminAICmValODSDesignICoptimObjprintshowsummary

Dependencies:MASS