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 gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
PScr results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=PScr
to link to this page.