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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1 |
rolling linux/jammy R-4.5 | PScr_1.1.tar.gz |
37.3 KiB |
1.1 |
rolling linux/noble R-4.5 | PScr_1.1.tar.gz |
37.3 KiB |
1.1 |
rolling source/ R- | PScr_1.1.tar.gz |
4.5 KiB |
1.1 |
latest linux/jammy R-4.5 | PScr_1.1.tar.gz |
37.3 KiB |
1.1 |
latest linux/noble R-4.5 | PScr_1.1.tar.gz |
37.3 KiB |
1.1 |
latest source/ R- | PScr_1.1.tar.gz |
4.5 KiB |
1.1 |
2026-04-26 source/ R- | PScr_1.1.tar.gz |
4.5 KiB |
1.1 |
2026-04-23 source/ R- | PScr_1.1.tar.gz |
4.5 KiB |
1.1 |
2026-04-09 windows/windows R-4.5 | PScr_1.1.zip |
39.7 KiB |
1.1 |
2025-04-20 source/ R- | PScr_1.1.tar.gz |
4.5 KiB |