Flexible parametric models for time-to-event data,
including the Royston-Parmar spline model, generalized gamma
and generalized F distributions.  Easily extensible to fit
user-defined parametric distributions.

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.

Flexible Parametric Survival and Multi-State Models

c(person("Christopher", "Jackson",
email="chris.jackson@mrc-bsu.cam.ac.uk",
role=c("aut", "cre")),
person("Paul", "Metcalfe",
role=c("ctb")),
person("Jordan", "Amdahl",
role=c("ctb"))
)
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.
mstate (>= 0.2.10), muhaz, mvtnorm, deSolve, quadprog, Rcpp
(>= 0.11.5), tidyr, tibble
Christopher Jackson [aut, cre],
Paul Metcalfe [ctb],
Jordan Amdahl [ctb]

mstate (>= 0.2.10), muhaz, mvtnorm, deSolve, quadprog, Rcpp
(>= 0.11.5)

c(person("Christopher", "Jackson",
email="chris.jackson@mrc-bsu.cam.ac.uk",
role=c("aut", "cre")),
person("Paul", "Metcalfe",
role=c("ctb")),
person("Jordan", "Amdahl",
role=c("ctb")),
person("Matthew T.", "Warkentin",
role = c("ctb")),
person("Kevin", "Kunzmann",
role = c("ctb"))
)
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.
assertthat, deSolve, generics, magrittr, mstate (>= 0.2.10),
Matrix, muhaz, mvtnorm, numDeriv, quadprog, Rcpp (>= 0.11.5),
rlang, rstpm2, purrr, tibble, tidyr, dplyr, tidyselect
colorspace, eha, ggplot2, knitr, msm, testthat, TH.data
Christopher Jackson [aut, cre],
Paul Metcalfe [ctb],
Jordan Amdahl [ctb],
Matthew T. Warkentin [ctb],
Kevin Kunzmann [ctb]