Estimation for the Power Series Cure Rate Model R package PScr version 1.1 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. Software Depends: R (>= 4.0.0), stats Imports: survival, pracma, VGAM Suggests: mstate Diego Gallardo <diego.gallardo.mateluna@gmail.com> Comprehensive R Archive Network (CRAN) Diego Gallardo [aut, cre], Reza Azimi [ctb] GPL (>= 2) 2023-04-04 application/tgz https://CRAN.R-project.org/package=PScr doi:10.32614/CRAN.package.PScr