doi:10.1111/geb.70035> for more details.">

tinyVAST: Multivariate Spatio-Temporal Models using Structural Equations (original) (raw)

Fits a wide variety of multivariate spatio-temporal models with simultaneous and lagged interactions among variables (including vector autoregressive spatio-temporal ('VAST') dynamics) for areal, continuous, or network spatial domains. It includes time-variable, space-variable, and space-time-variable interactions using dynamic structural equation models ('DSEM') as expressive interface, and the 'mgcv' package to specify splines via the formula interface. See Thorson et al. (2025) <doi:10.1111/geb.70035> for more details.

Version: 1.3.0
Depends: R (≥ 4.1.0)
Imports: corpcor, fmesher, igraph, Matrix (≥ 1.3.0), methods, utils, mgcv, sem, sf, sfnetworks, TMB (≥ 1.9.17), units, checkmate, abind, sdmTMB, dsem (≥ 1.6.0), insight, cv, sparseinv, gstat
LinkingTo: RcppEigen, TMB
Suggests: ggplot2, knitr, lattice, mvtnorm, pdp, rmarkdown, rnaturalearth, rnaturalearthdata, testthat, tweedie, viridisLite, visreg, plyr, DHARMa, glmmTMB, tibble, RANN
Published: 2025-09-13
DOI: 10.32614/CRAN.package.tinyVAST
Author: James T. Thorson ORCID iD [aut, cre], Sean C. Anderson ORCID iD [aut]
Maintainer: James T. Thorson <James.Thorson at noaa.gov>
BugReports: https://github.com/vast-lib/tinyVAST/issues
License: GPL-3
URL: https://vast-lib.github.io/tinyVAST/
NeedsCompilation: yes
Citation: tinyVAST citation info
Materials: NEWS
CRAN checks: tinyVAST results

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