Mixture Cure Rate Models with Flexible Link Functions via the EM Algorithm R package EMGCR version 0.3.0 Fits mixture cure rate models by the Expectation-Maximization (EM) algorithm. The incidence component (the probability of being uncured) accepts the logit, probit, cauchit, power logit and reversed power logit link functions, and the latency component accepts the exponential, Rayleigh, Weibull, log-normal, log-logistic and inverse Gaussian distributions. The package provides parameter estimates with standard errors, simulation of data from the model, and diagnostic tools based on residuals and simulated envelopes. The methods build on Berkson and Gage (1952) <doi:10.2307/2281318>, Dempster, Laird and Rubin (1977) <doi:10.1111/j.2517-6161.1977.tb01600.x> and Bazán, Torres-Avilés, Suzuki and Louzada (2017) <doi:10.1002/asmb.2215>. Software Depends: R (>= 4.2.0) Imports: survival, Formula, actuar, flexsurv, tibble, ggplot2 (>= 3.4.0), stats, graphics Jalmar M. F. Carrasco <carrasco.jalmar@ufba.br> Comprehensive R Archive Network (CRAN) Chaeyeon Yoo [aut], Dipak K. Dey [aut], Victor H. Lachos [aut], Jalmar M. F. Carrasco [aut, cre] GPL-3 2026-10-06 application/tgz https://CRAN.R-project.org/package=EMGCR doi:10.32614/CRAN.package.EMGCR en-US