flexsurv (1.1.1)

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Flexible Parametric Survival and Multi-State Models.


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.

Maintainer: Christopher Jackson
Author(s): Christopher Jackson [aut, cre], Paul Metcalfe [ctb], Jordan Amdahl [ctb]

License: GPL (>= 2)

Uses: deSolve, mstate, muhaz, mvtnorm, quadprog, Rcpp, survival, tibble, tidyr, colorspace, eha, msm, numDeriv, testthat, knitr, TH.data
Reverse depends: flexsurvcure, survHE
Reverse suggests: butcher, Countr, fic, fitteR, ggamma, heemod, mlr3proba, mlt.docreg, msm, multistateutils, riskRegression, rprev, simsurv, survminer

Released about 1 year ago.

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