The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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
DOI: 10.32614/CRAN.package.PScr
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, r-oldrel (x86_64): PScr_1.1.tgz
Old sources: PScr archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PScr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.