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:
Downloads:
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