Package: PScr 1.1
PScr: Estimation for the Power Series Cure Rate Model
Provide estimation for particular cases of the power series cure rate model <doi:10.1080/03610918.2011.639971>. For the distribution of the concurrent causes the alternative models are the Poisson, logarithmic, negative binomial and Bernoulli (which are includes in the original work), the polylogarithm model <doi:10.1080/00949655.2018.1451850> and the Flory-Schulz <doi:10.3390/math10244643>. The estimation procedure is based on the EM algorithm discussed in <doi:10.1080/03610918.2016.1202276>. For the distribution of the time-to-event the alternative models are slash half-normal, Weibull, gamma and Birnbaum-Saunders distributions.
Authors:
PScr_1.1.tar.gz
PScr_1.1.zip(r-4.5)PScr_1.1.zip(r-4.4)PScr_1.1.zip(r-4.3)
PScr_1.1.tgz(r-4.4-any)PScr_1.1.tgz(r-4.3-any)
PScr_1.1.tar.gz(r-4.5-noble)PScr_1.1.tar.gz(r-4.4-noble)
PScr_1.1.tgz(r-4.4-emscripten)PScr_1.1.tgz(r-4.3-emscripten)
PScr.pdf |PScr.html✨
PScr/json (API)
NEWS
| # Install 'PScr' in R: |
| install.packages('PScr', repos = c('https://diegogallardo87.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:a152b1dac1. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 25 2024 |
| R-4.5-win | OK | Oct 25 2024 |
| R-4.5-linux | OK | Oct 25 2024 |
| R-4.4-win | OK | Oct 25 2024 |
| R-4.4-mac | OK | Oct 25 2024 |
| R-4.3-win | OK | Oct 25 2024 |
| R-4.3-mac | OK | Oct 25 2024 |
Exports:EM.PScr
