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Tip revision: 553dbb72c2d75d5bcfa1456f635da35430859ddf authored by Mark Clements on 24 February 2016, 16:59:21 UTC
version 1.3.1
Tip revision: 553dbb7
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: 1.3.1
Date: 2016-02-24
Depends: R (>= 2.10), methods, survival, splines
Imports: graphics, Rcpp (>= 0.10.2), numDeriv, stats, mgcv, bbmle (>=
        1.0.3), fastGHQuad
Suggests: RUnit, gaussquad
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))) for a link function g, survival S at time t with covariates x is modelled using a linear predictor. The main assumption is that the time effect(s) are smooth. For fully parametric models, 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. We have also extended the model to include any smooth penalized smoothers from the 'mgcv' package, using penalized likelihood. These models have all been extended to include left truncation, right censoring, interval censoring, frailties and normal random effects. 
License: GPL-2 | GPL-3
LazyData: yes
NeedsCompilation: yes
Packaged: 2016-02-24 14:59:25 UTC; marcle
Repository: CRAN
Date/Publication: 2016-02-24 16:59:21
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