Package: mvgam
Title: Multivariate (Dynamic) Generalized Additive Models
Version: 1.1.2
Date: 2024-06-28
Authors@R: person("Nicholas J", "Clark", , "nicholas.j.clark1214@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7131-3301"))
Description: Fit Bayesian Dynamic Generalized Additive Models to sets of time series. Users can build dynamic 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 (2022) <doi:10.1111/2041-210X.13974>.
URL: https://github.com/nicholasjclark/mvgam,
        https://nicholasjclark.github.io/mvgam/
BugReports: https://github.com/nicholasjclark/mvgam/issues
License: MIT + file LICENSE
Depends: R (>= 3.6.0), brms (>= 2.17)
Imports: 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), parallel,
        pbapply, mvnfast, purrr, zoo, smooth, dplyr, magrittr, Matrix,
        rlang
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Suggests: scoringRules, matrixStats, cmdstanr (>= 0.5.0), tweedie,
        splines2, extraDistr, wrswoR, xts, lubridate, knitr, collapse,
        rmarkdown, rjags, coda, runjags, usethis, testthat
Additional_repositories: https://mc-stan.org/r-packages/
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-06-30 23:21:45 UTC; uqnclar2
Author: Nicholas J Clark [aut, cre] (<https://orcid.org/0000-0001-7131-3301>)
Maintainer: Nicholas J Clark <nicholas.j.clark1214@gmail.com>
Repository: CRAN
Date/Publication: 2024-07-01 07:50:02 UTC
Built: R 4.4.1; aarch64-apple-darwin22.6.0; 2024-08-24 01:04:26 UTC; unix
