Package: LTRCforests
Version: 0.7.0
Date: 2023-11-29
Title: Ensemble Methods for Survival Data with Time-Varying Covariates
Authors@R: c(person(given = "Weichi", family = "Yao", role = c("aut", "cre"), 
                    email = "weichi.yao@gmail.com"),
             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 <weichi.yao@gmail.com>
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. (2022) <doi:10.1177/09622802221111549>.
NeedsCompilation: yes
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Packaged: 2023-11-30 03:33:00 UTC; weichiyao
Repository: CRAN
Date/Publication: 2023-11-30 03:50:02 UTC
Built: R 4.2.0; x86_64-apple-darwin17.0; 2023-12-21 16:30:10 UTC; unix
Archs: LTRCforests.so.dSYM
