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