Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

JMbayes2

Extended Joint Models for Longitudinal and Time-to-Event Data

Fit joint models for longitudinal and time-to-event data under the Bayesian approach. Multiple longitudinal outcomes of mixed type (continuous/categorical) and multiple event times (competing risks and multi-state processes) are accommodated. Rizopoulos (2012, ISBN:9781439872864).

Functions (8)

JMbayes2

Extended Joint Models for Longitudinal and Time-to-Event Data

aids

Didanosine versus Zalcitabine in HIV Patients

coda_methods

Various Methods for Functions from the coda Package

crLong

Transform Competing Risks Data in Long Format

jm

Joint Models for Longitudinal and Time-to-Event Data

methods

Various Methods for Standard Generics

pbc

Mayo Clinic Primary Biliary Cirrhosis Data

prothro

Prednisone versus Placebo in Liver Cirrhosis Patients

JMbayes2

Extended Joint Models for Longitudinal and Time-to-Event Data

v0.1-5
GPL (>= 3)
Authors
Dimitris Rizopoulos [aut, cre] (<https://orcid.org/0000-0001-9397-0900>), Grigorios Papageorgiou [aut], Pedro Miranda Afonso [aut]
Initial release
2021-03-09

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.