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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>.

Versions across snapshots

VersionRepositoryFileSize
1.2.0 rolling linux/jammy R-4.5 mvtweedie_1.2.0.tar.gz 561.1 KiB
1.2.0 rolling linux/noble R-4.5 mvtweedie_1.2.0.tar.gz 561.1 KiB
1.2.0 rolling source/ R- mvtweedie_1.2.0.tar.gz 669.5 KiB
1.2.0 latest linux/jammy R-4.5 mvtweedie_1.2.0.tar.gz 561.1 KiB
1.2.0 latest linux/noble R-4.5 mvtweedie_1.2.0.tar.gz 561.1 KiB
1.2.0 latest source/ R- mvtweedie_1.2.0.tar.gz 669.5 KiB
1.2.0 2026-04-26 source/ R- mvtweedie_1.2.0.tar.gz 669.5 KiB
1.2.0 2026-04-23 source/ R- mvtweedie_1.2.0.tar.gz 669.5 KiB
1.2.0 2026-04-09 windows/windows R-4.5 mvtweedie_1.2.0.zip 569.2 KiB

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