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) and the polylogarithm model <doi:10.1080/00949655.2018.1451850>. 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.

Version: 1.0
Depends: R (≥ 4.0.0), stats
Imports: nlme, gtools, LambertW, survival, pracma, mstate, VGAM
Published: 2022-11-01
Author: Diego Gallardo [aut, cre]
Maintainer: Diego Gallardo <diego.gallardo.mateluna at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: PScr results


Reference manual: PScr.pdf


Package source: PScr_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): PScr_1.0.tgz, r-oldrel (arm64): PScr_1.0.tgz, r-release (x86_64): PScr_1.0.tgz, r-oldrel (x86_64): PScr_1.0.tgz


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