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PScr  

Estimation for the Power Series Cure Rate Model
View on CRAN: Click here


Download and install PScr package within the R console
Install from CRAN:
install.packages("PScr")

Install from Github:
library("remotes")
install_github("cran/PScr")

Install by package version:
library("remotes")
install_version("PScr", "1.1")



Attach the package and use:
library("PScr")
Maintained by
Diego Gallardo
[Scholar Profile | Author Map]
First Published: 2022-11-01
Latest Update: 2023-04-04
Description:
Provide estimation for particular cases of the power series cure rate model . 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 and the Flory-Schulz . The estimation procedure is based on the EM algorithm discussed in . For the distribution of the time-to-event the alternative models are slash half-normal, Weibull, gamma and Birnbaum-Saunders distributions.
How to cite:
Diego Gallardo (2022). PScr: Estimation for the Power Series Cure Rate Model. R package version 1.1, https://cran.r-project.org/web/packages/PScr. Accessed 13 Apr. 2025.
Previous versions and publish date:
1.0 (2022-11-01 16:25)
Other packages that cited PScr R package
View PScr citation profile
Other R packages that PScr depends, imports, suggests or enhances
Complete documentation for PScr
Functions, R codes and Examples using the PScr R package
Some associated functions: EM.PScr . 
Some associated R codes: EM.PScr.R .  Full PScr package functions and examples
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