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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 (may not be active yet)
Author: James Thorson ORCID iD [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:

Reference manual: mvtweedie.html , mvtweedie.pdf
Vignettes: Introduction to mvtweedie (source, R code)

Downloads:

Package source: mvtweedie_1.2.0.tar.gz
Windows binaries: r-devel: not available, r-release: mvtweedie_1.2.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): mvtweedie_1.2.0.tgz, r-oldrel (arm64): mvtweedie_1.2.0.tgz, r-release (x86_64): mvtweedie_1.2.0.tgz, r-oldrel (x86_64): mvtweedie_1.2.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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