Revision 4f6cced2730ffce02a21c60576beee964f690a74 authored by Mark Clements on 29 May 2018, 12:45:06 UTC, committed by cran-robot on 29 May 2018, 12:45:06 UTC
1 parent 8d14fde
Raw File
Package: rstpm2
Type: Package
Title: Generalized Survival Models
Authors@R: c(person("Mark", "Clements", role = c("aut", "cre"),
		     email = ""),
	      person("Xing-Rong", "Liu", role = "aut",
		     email = ""),
	      person("Paul", "Lambert", role = "ctb", email=""))
Version: 1.4.2
Date: 2018-05-29
Depends: R (>= 3.0.2), methods, survival, splines
Imports: graphics, Rcpp (>= 0.10.2), numDeriv, stats, mgcv, bbmle (>=
        1.0.20), fastGHQuad
Suggests: RUnit, eha
LinkingTo: Rcpp,RcppArmadillo
Author: Mark Clements [aut, cre],
  Xing-Rong Liu [aut],
  Paul Lambert [ctb]
Maintainer: Mark Clements <>
Description: R implementation of generalized survival models, where g(S(t|x))=eta(t,x) for a link function g, survival S at time t with covariates x and a linear predictor eta(t,x). The main assumption is that the time effect(s) are smooth. For fully parametric models with natural splines, this re-implements Stata's 'stpm2' function, which are flexible parametric survival models developed by Royston and colleagues. We have extended the parametric models to include any smooth parametric smoothers for time. We have also extended the model to include any smooth penalized smoothers from the 'mgcv' package, using penalized likelihood. These models include left truncation, right censoring, interval censoring, gamma frailties and normal random effects. This also includes a smooth implementation of accelerated failure time models.
License: GPL-2 | GPL-3
LazyData: yes
NeedsCompilation: yes
Packaged: 2018-05-29 13:02:26 UTC; marcle
Repository: CRAN
Date/Publication: 2018-05-29 13:45:06 UTC
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