RStanTVA: TVA Models in 'Stan' using 'R' and 'StanTVA'

'Stan' implementation of the Theory of Visual Attention (TVA; Bundesen, 1990; <doi:10.1037/0033-295X.97.4.523>) and numerous convenience functions for generating, compiling, fitting, and analyzing TVA models.

Version: 0.2.6
Depends: rstan, R (≥ 3.6)
Imports: dplyr, readr, tidyr, methods, utils, tibble, stats, cli, lme4, brms, rlang
Suggests: cmdstanr
Published: 2025-04-23
DOI: 10.32614/CRAN.package.RStanTVA
Author: Maximilian M. Rabe ORCID iD [aut, cre], Søren Kyllingsbæk ORCID iD [aut]
Maintainer: Maximilian M. Rabe <maximilian.rabe at uni-potsdam.de>
BugReports: https://github.com/mmrabe/RStanTVA/issues
License: GPL (≥ 3)
URL: https://github.com/mmrabe/RStanTVA
NeedsCompilation: no
Additional_repositories: https://stan-dev.r-universe.dev
Materials: README
CRAN checks: RStanTVA results

Documentation:

Reference manual: RStanTVA.pdf

Downloads:

Package source: RStanTVA_0.2.6.tar.gz
Windows binaries: r-devel: RStanTVA_0.2.1.zip, r-release: RStanTVA_0.2.6.zip, r-oldrel: RStanTVA_0.2.6.zip
macOS binaries: r-release (arm64): RStanTVA_0.2.6.tgz, r-oldrel (arm64): RStanTVA_0.2.6.tgz, r-release (x86_64): RStanTVA_0.2.6.tgz, r-oldrel (x86_64): RStanTVA_0.2.6.tgz
Old sources: RStanTVA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RStanTVA to link to this page.