Package: ICODS 1.1

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, Qingning Zhou, Jianwen Cai, Haibo Zhou

ICODS_1.1.tar.gz
ICODS_1.1.zip(r-4.5)ICODS_1.1.zip(r-4.4)ICODS_1.1.zip(r-4.3)
ICODS_1.1.tgz(r-4.4-any)ICODS_1.1.tgz(r-4.3-any)
ICODS_1.1.tar.gz(r-4.5-noble)ICODS_1.1.tar.gz(r-4.4-noble)
ICODS_1.1.tgz(r-4.4-emscripten)ICODS_1.1.tgz(r-4.3-emscripten)
ICODS.pdf |ICODS.html✨
ICODS/json (API)

# Install 'ICODS' in R:
install.packages('ICODS', repos = c('https://sth1402.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • ccData - Toy Example for Case-Cohort Design with Interval-Censored Data
  • odsData - Toy Example for ODS Design with Interval-Censored Data

On CRAN:

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

1.00 score 196 downloads 9 exports 1 dependencies

Last updated 3 years agofrom:9bdb945791. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 12 2025
R-4.5-winOKJan 12 2025
R-4.5-linuxOKJan 12 2025
R-4.4-winOKJan 12 2025
R-4.4-macOKJan 12 2025
R-4.3-winOKJan 12 2025
R-4.3-macOKJan 12 2025

Exports:CaseCohortICestimateminAICmValODSDesignICoptimObjprintshowsummary

Dependencies:MASS