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mvtweedie  

Estimate Diet Proportions Using Multivariate Tweedie Model
View on CRAN: Click here


Download and install mvtweedie package within the R console
Install from CRAN:
install.packages("mvtweedie")

Install from Github:
library("remotes")
install_github("cran/mvtweedie")

Install by package version:
library("remotes")
install_version("mvtweedie", "1.2.0")



Attach the package and use:
library("mvtweedie")
Maintained by
James Thorson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-07
Latest Update: 2026-01-07
Description:
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>.
How to cite:
James Thorson (2026). mvtweedie: Estimate Diet Proportions Using Multivariate Tweedie Model. R package version 1.2.0, https://cran.r-project.org/web/packages/mvtweedie. Accessed 06 Jun. 2026.
Previous versions and publish date:
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Complete documentation for mvtweedie
Functions, R codes and Examples using the mvtweedie R package
Full mvtweedie package functions and examples
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