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-4.7)PScr_1.1.zip(r-4.6)PScr_1.1.zip(r-4.5)
PScr_1.1.tgz(r-4.6-any)PScr_1.1.tgz(r-4.5-any)
PScr_1.1.tar.gz(r-4.7-any)PScr_1.1.tar.gz(r-4.6-any)
PScr_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:a152b1dac1. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 121 | ||
| source / vignettes | OK | 149 | ||
| linux-release-x86_64 | OK | 119 | ||
| macos-release-arm64 | OK | 155 | ||
| macos-oldrel-arm64 | OK | 165 | ||
| windows-devel | OK | 133 | ||
| windows-release | OK | 87 | ||
| windows-oldrel | OK | 68 | ||
| wasm-release | OK | 91 |
Exports:EM.PScr
