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Package: rstpm2 Type: Package Title: Generalized Survival Models Authors@R: c(person("Mark", "Clements", role = c("aut", "cre"), email = "firstname.lastname@example.org"), person("Xing-Rong", "Liu", role = "aut", email = "email@example.com"), person("Paul", "Lambert", role = "ctb", email="firstname.lastname@example.org")) 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 <email@example.com> 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. URL: http://github.com/mclements/rstpm2 BugReports: http://github.com/mclements/rstpm2/issues 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