gmvjoint
0.4.5Joint Models of Survival and Multivariate Longitudinal Data
Overview
Fit joint models of survival and multivariate longitudinal data. The longitudinal data is specified by generalised linear mixed models. The joint models are fit via maximum likelihood using an approximate expectation maximisation algorithm. Bernhardt (2015) doi:10.1016/j.csda.2014.11.011.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2511 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 3 earlier snapshots
- NOTE2026-04-2212 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1811 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 41%
- Documented parameters
- 99%
- Return-value docs
- 100%
- References docs
- 32%
Downloads
Repository
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Dependencies
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Code & Tests
Datasets
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Package metadata
- First published
- 2022-12-07
- Total releases
- 6 / 4 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.6.0
- Bundled data
- 40 KB / 1 file
- Download size
- 140 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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