Package: mets
Type: Package
Title: Analysis of Multivariate Event Times
Version: 1.3.2
Date: 2023-01-16
Authors@R: c(person("Klaus K.", "Holst", email="klaus@holst.it", role=c("aut", "cre")),
             person("Thomas Scheike", role=c("aut")))
Author: Klaus K. Holst [aut, cre],
  Thomas Scheike [aut]
Maintainer: Klaus K. Holst <klaus@holst.it>
Description: Implementation of various statistical models for multivariate
    event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate
    cumulative incidence models <doi:10.1002/sim.6016>, and  bivariate random
    effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>.
    Also contains two-stage binomial modelling that can do pairwise odds-ratio
    dependence modelling based marginal logistic regression models. This is an
    alternative to the alternating logistic regression approach (ALR).
License: GPL (>= 2)
LazyLoad: yes
URL: https://kkholst.github.io/mets/
BugReports: https://github.com/kkholst/mets/issues
Depends: R (>= 3.5), timereg (>= 1.9.4)
Imports: lava (>= 1.7.1), mvtnorm, numDeriv, compiler, Rcpp, splines,
        survival (>= 2.43-1)
Suggests: optimx, prodlim, cmprsk, testthat (>= 0.11), ucminf, knitr,
        rmarkdown, ggplot2, cowplot, icenReg
VignetteBuilder: knitr
ByteCompile: yes
LinkingTo: Rcpp, RcppArmadillo, mvtnorm
SystemRequirements: C++11
Encoding: UTF-8
RoxygenNote: 7.2.3
NeedsCompilation: yes
Packaged: 2023-01-16 16:42:29 UTC; Klaus.Holst
Repository: CRAN
Date/Publication: 2023-01-17 09:40:07 UTC
Built: R 4.3.1; x86_64-conda-linux-gnu; 2023-10-23 19:24:32 UTC; unix
