mvtweedie: Estimate Diet Proportions Using Multivariate Tweedie Model
Defines predict function that transforms output from a Tweedie
Generalized Linear Mixed Model (using 'glmmTMB'),
Generalized Additive Model (using 'mgcv'), or
spatio-temporal Generalized Linear Mixed Model (using package 'tinyVAST'),
and returns predicted proportions (and standard errors) across a
grouping variable from an equivalent multivariate-logit Tweedie model.
These predicted proportions can then be used for standard plotting
and diagnostics. See Thorson et al. 2022 <doi:10.1002/ecy.3637>.
| Version: |
1.2.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
stats, tibble |
| Suggests: |
mgcv, knitr, rmarkdown, ggplot2, glmmTMB, lattice, pdp, raster, sp, RANN, plotrix, tweedie, abind, rnaturalearth, rnaturalearthdata, sf, dplyr, viridisLite, tinyVAST |
| Published: |
2026-01-07 |
| DOI: |
10.32614/CRAN.package.mvtweedie |
| Author: |
James Thorson 
[aut, cre] |
| Maintainer: |
James Thorson <James.Thorson at noaa.gov> |
| License: |
GPL-3 |
| URL: |
https://james-thorson-noaa.github.io/mvtweedie/ |
| NeedsCompilation: |
no |
| Citation: |
mvtweedie citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
mvtweedie results |
Documentation:
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