Learn R Programming

mets (version 1.3.5)

mets-package: mets: Analysis of Multivariate Event Times

Description

Implementation of various statistical models for multivariate event history data tools:::Rd_expr_doi("10.1007/s10985-013-9244-x"). Including multivariate cumulative incidence models tools:::Rd_expr_doi("10.1002/sim.6016"), and bivariate random effects probit models (Liability models) tools:::Rd_expr_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.

Implementation of various statistical models for multivariate event history data. Including multivariate cumulative incidence models, and bivariate random effects probit models (Liability models)

Arguments

Author

Maintainer: Klaus K. Holst klaus@holst.it

Authors:

  • Thomas Scheike

Klaus K. Holst and Thomas Scheike

See Also

Examples

Run this code

## To appear

Run the code above in your browser using DataLab