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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:9bdb945791. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 13 2024 |
R-4.5-win | OK | Nov 13 2024 |
R-4.5-linux | OK | Nov 13 2024 |
R-4.4-win | OK | Nov 13 2024 |
R-4.4-mac | OK | Nov 13 2024 |
R-4.3-win | OK | Nov 13 2024 |
R-4.3-mac | OK | Nov 13 2024 |
Exports:CaseCohortICestimateminAICmValODSDesignICoptimObjprintshowsummary
Dependencies:MASS