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
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ICODS_1.1.tgz(r-4.4-any)ICODS_1.1.tgz(r-4.3-any)
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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.

9 exports 0.00 score 1 dependencies 214 downloads

Last updated 2 years agofrom:9bdb945791. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-winOKSep 14 2024
R-4.5-linuxOKSep 14 2024
R-4.4-winOKSep 14 2024
R-4.4-macOKSep 14 2024
R-4.3-winOKSep 14 2024
R-4.3-macOKSep 14 2024

Exports:CaseCohortICestimateminAICmValODSDesignICoptimObjprintshowsummary

Dependencies:MASS