kkholst/mets: Analysis of Multivariate Event Times

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>. Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray, Ghosh-Lin, Binomial regression) with fast computation of influence functions.

Getting started

Package details

AuthorKlaus K. Holst [aut, cre], Thomas Scheike [aut]
MaintainerKlaus K. Holst <klaus@holst.it>
LicenseGPL (>=2)
Version1.3.4
URL https://kkholst.github.io/mets/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("kkholst/mets")
kkholst/mets documentation built on March 28, 2024, 6:50 a.m.