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.

Version: 1.1
Depends: R (≥ 4.0.0), stats
Imports: survival, pracma, VGAM
Suggests: mstate
Published: 2023-04-04
Author: Diego Gallardo [aut, cre], Reza Azimi [ctb]
Maintainer: Diego Gallardo <diego.gallardo.mateluna at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: PScr results

Documentation:

Reference manual: PScr.pdf

Downloads:

Package source: PScr_1.1.tar.gz
Windows binaries: r-devel: PScr_1.1.zip, r-release: PScr_1.1.zip, r-oldrel: PScr_1.1.zip
macOS binaries: r-release (arm64): PScr_1.1.tgz, r-oldrel (arm64): PScr_1.1.tgz, r-release (x86_64): PScr_1.1.tgz
Old sources: PScr archive

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