Inference and Prediction in an Illness-Death Model R package survidm version 1.3.2 Newly developed methods for the estimation of several probabilities in an illness-death model. The package can be used to obtain nonparametric and semiparametric estimates for: transition probabilities, occupation probabilities, cumulative incidence function and the sojourn time distributions. Additionally, it is possible to fit proportional hazards regression models in each transition of the Illness-Death Model. Several auxiliary functions are also provided which can be used for marginal estimation of the survival functions. Software Depends: R (>= 3.0.0) Imports: KernSmooth, np, survival, doParallel, parallel, doRNG, foreach, TPmsm, Rcpp, ggplot2, gridExtra, plotly LinkingTo: Rcpp Marta Sestelo <sestelo@uvigo.es> Comprehensive R Archive Network (CRAN) Luis Meira-Machado, Marta Sestelo and Gustavo Soutinho GPL-3 2021-06-24 application/tgz https://CRAN.R-project.org/package=survidm doi:10.32614/CRAN.package.survidm