Package: PScr
Type: Package
Title: Estimation for the Power Series Cure Rate Model
Version: 1.1
Date: 2023-04-03
Authors@R: c(person("Diego", "Gallardo", role = c("aut","cre"), email = "diego.gallardo.mateluna@gmail.com"),
		person("Reza", "Azimi", role = c("ctb"), email = "r.azimi@uma.ac.ir"))
Author: Diego Gallardo [aut, cre],
  Reza Azimi [ctb]
Maintainer: Diego Gallardo <diego.gallardo.mateluna@gmail.com>
Description: 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.
Depends: R (>= 4.0.0), stats
Imports: survival, pracma, VGAM
Suggests: mstate
License: GPL (>= 2)
NeedsCompilation: no
Repository: CRAN
Packaged: 2023-04-04 03:33:57 UTC; Diego
Date/Publication: 2023-04-04 03:50:02 UTC
Built: R 4.6.0; ; 2026-04-26 04:34:01 UTC; unix
