Flexible Parametric Survival and Multi-State Models R package flexsurv version 2.3.2 CRAN Task View: Distributions (https://CRAN.R-project.org/view=Distributions) CRAN Task View: Survival (https://CRAN.R-project.org/view=Survival) Flexible parametric models for time-to-event data, including the Royston-Parmar spline model, generalized gamma and generalized F distributions. Any user-defined parametric distribution can be fitted, given at least an R function defining the probability density or hazard. There are also tools for fitting and predicting from fully parametric multi-state models, based on either cause-specific hazards or mixture models. Software Depends: survival, R (>= 2.15.0) Imports: assertthat, deSolve, generics, magrittr, mstate (>= 0.2.10), Matrix, muhaz, mvtnorm, numDeriv, quadprog, Rcpp (>= 0.11.5), rlang, rstpm2, purrr, statmod, tibble, tidyr, dplyr, tidyselect, ggplot2 LinkingTo: Rcpp Suggests: splines2, flexsurvcure, survminer, lubridate, rmarkdown, colorspace, eha, knitr, msm, testthat, TH.data, broom, covr Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk> Comprehensive R Archive Network (CRAN) Christopher Jackson [aut, cre], Paul Metcalfe [ctb], Jordan Amdahl [ctb], Matthew T. Warkentin [ctb], Michael Sweeting [ctb], Kevin Kunzmann [ctb] GPL (>= 2) 2024-08-17 application/tgz https://CRAN.R-project.org/package=flexsurv doi:10.32614/CRAN.package.flexsurv