Multivariate Double Hierarchical Generalized Linear Models
Overview
Allows various models for multivariate response variables where each response is assumed to follow double hierarchical generalized linear models. In double hierarchical generalized linear models, the mean, dispersion parameters for variance of random effects, and residual variance can be further modeled as random-effect models.
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- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 38includes a package overview page
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 50%
- Documented parameters
- 100%
- Return-value docs
- 0%
- Help pages citing references
- 87%
Downloads
Dependencies
Code & Tests
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People & History
Maintainer since 1.2 (2016)
Pick two releases to compare their code metrics.
- archivedRemoved from CRAN2026-06-01issues were not corrected despite reminders
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- unarchivedReturned to CRAN2018-10-25
- 1.82018-10-25 · diff ↗
- archivedRemoved from CRAN2018-05-24check problems were not corrected despite reminders
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 1.62016-09-19 · diff ↗
- 1.42016-06-28 · diff ↗
Show 3 earlier eventsHide 3 earlier events
- RR 3.3.0 released · 2016-05-03
- 1.22016-03-17
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2016-03-17
- Total releases
- 4 / 10 yrs
- License
- Unlimited
- Minimum R
- ≥ 3.4.0
- Bundled data
- 164 KB / 35 files
- Download size
- 238 KB
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