Package: doubcens 1.1
doubcens: Survivor Function Estimation for Doubly Interval-Censored Failure Time Data
Contains the discrete nonparametric survivor function estimation algorithm of De Gruttola and Lagakos for doubly interval-censored failure time data and the discrete nonparametric survivor function estimation algorithm of Sun for doubly interval-censored left-truncated failure time data [Victor De Gruttola & Stephen W. Lagakos (1989) <doi:10.2307/2532030>] [Jianguo Sun (1995) <doi:10.2307/2533008>].
Authors:
doubcens_1.1.tar.gz
doubcens_1.1.zip(r-4.5)doubcens_1.1.zip(r-4.4)doubcens_1.1.zip(r-4.3)
doubcens_1.1.tgz(r-4.4-any)doubcens_1.1.tgz(r-4.3-any)
doubcens_1.1.tar.gz(r-4.5-noble)doubcens_1.1.tar.gz(r-4.4-noble)
doubcens_1.1.tgz(r-4.4-emscripten)doubcens_1.1.tgz(r-4.3-emscripten)
doubcens.pdf |doubcens.html✨
doubcens/json (API)
# Install 'doubcens' in R: |
install.packages('doubcens', repos = c('https://jamesm1524.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 7 years agofrom:fbda7a9497. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-win | OK | Nov 22 2024 |
R-4.5-linux | OK | Nov 22 2024 |
R-4.4-win | OK | Nov 22 2024 |
R-4.4-mac | OK | Nov 22 2024 |
R-4.3-win | OK | Nov 22 2024 |
R-4.3-mac | OK | Nov 22 2024 |
Dependencies: