Estimation for the Power Series Cure Rate Model

Provides estimation and simulation tools 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.