mvgam: Multivariate (Dynamic) Generalized Additive Models

Fit Bayesian Dynamic Generalized Additive Models to multivariate observations. Users can build nonlinear State-Space models that can incorporate semiparametric effects in observation and process components, using a wide range of observation families. Estimation is performed using Markov Chain Monte Carlo with Hamiltonian Monte Carlo in the software 'Stan'. References: Clark & Wells (2023) <doi:10.1111/2041-210X.13974>.

Version: 1.1.51
Depends: R (≥ 3.6.0)
Imports: brms (≥ 2.21.0), methods, mgcv (≥ 1.8-13), insight (≥ 0.19.1), marginaleffects (≥ 0.16.0), Rcpp (≥ 0.12.0), rstan (≥ 2.29.0), posterior (≥ 1.0.0), loo (≥ 2.3.1), rstantools (≥ 2.1.1), bayesplot (≥ 1.5.0), ggplot2 (≥ 2.0.0), mvnfast, purrr, dplyr, magrittr, rlang, generics, tibble (≥ 3.0.0), patchwork (≥ 1.2.0)
LinkingTo: Rcpp, RcppArmadillo
Suggests: scoringRules, matrixStats, cmdstanr (≥ 0.5.0), tweedie, splines2, extraDistr, corpcor, wrswoR, xts, lubridate, knitr, collapse, rmarkdown, rjags, coda, runjags, usethis, testthat
Enhances: gratia (≥ 0.9.0), tidyr
Published: 2025-03-14
DOI: 10.32614/CRAN.package.mvgam
Author: Nicholas J Clark ORCID iD [aut, cre], Sarah Heaps ORCID iD [ctb] (VARMA parameterisations), Scott Pease ORCID iD [ctb] (broom enhancements), Matthijs Hollanders ORCID iD [ctb] (ggplot visualizations)
Maintainer: Nicholas J Clark <nicholas.j.clark1214 at gmail.com>
BugReports: https://github.com/nicholasjclark/mvgam/issues
License: MIT + file LICENSE
URL: https://github.com/nicholasjclark/mvgam, https://nicholasjclark.github.io/mvgam/
NeedsCompilation: yes
Additional_repositories: https://mc-stan.org/r-packages/
Citation: mvgam citation info
Materials: README, NEWS
In views: Bayesian, Environmetrics, TimeSeries
CRAN checks: mvgam results

Documentation:

Reference manual: mvgam.html , mvgam.pdf
Vignettes: Formatting data for use in mvgam (source, R code)
Forecasting and forecast evaluation in mvgam (source, R code)
Overview of the mvgam package (source, R code)
N-mixtures in mvgam (source, R code)
Shared latent states in mvgam (source, R code)
Time-varying effects in mvgam (source, R code)
State-Space models in mvgam (source, R code)

Downloads:

Package source: mvgam_1.1.51.tar.gz
Windows binaries: r-devel: mvgam_1.1.51.zip, r-release: mvgam_1.1.51.zip, r-oldrel: mvgam_1.1.51.zip
macOS binaries: r-release (arm64): mvgam_1.1.51.tgz, r-oldrel (arm64): mvgam_1.1.51.tgz, r-release (x86_64): mvgam_1.1.51.tgz, r-oldrel (x86_64): mvgam_1.1.51.tgz
Old sources: mvgam archive

Linking:

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