Package: LTRCforests
Version: 0.5.5
Date: 2021-02-24
Title: Ensemble Methods for Survival Data with Time-Varying Covariates
Authors@R: c(person(given = "Weichi", family = "Yao", role = c("aut", "cre"), 
                    email = "wy635@stern.nyu.edu"),
             person(given = "Halina", family = "Frydman", role = "aut", email = "hf2@stern.nyu.edu"),
             person(given = "Denis", family = "Larocque", role = "aut", email = "denis.larocque@hec.ca"),
             person(given = "Jeffrey S.", family = "Simonoff", role = "aut", email = "jss2@stern.nyu.edu"))
Author: Weichi Yao [aut, cre],
  Halina Frydman [aut],
  Denis Larocque [aut],
  Jeffrey S. Simonoff [aut]
Maintainer: Weichi Yao <wy635@stern.nyu.edu>
Depends: R (>= 3.5.0)
Imports: stats, utils, survival, ipred, parallel, prodlim, partykit
Suggests: randomForestSRC, LTRCtrees
Description: Implements the conditional inference forest and relative risk forest 
             algorithm to modeling left-truncated right-censored data with time-invariant        
             covariates, and (left-truncated) right-censored survival data with time-varying 
             covariates. It also provides functions to tune the parameters and evaluate the 
             model fit. See Yao et al. (2020) <arXiv:2006.00567>.
NeedsCompilation: yes 
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
