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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: 0.2.0
Depends: rstan, R (≥ 3.6)
Imports: dplyr, readr, tidyr, methods, utils, tibble, stats, cli, lme4, brms, rlang
Suggests: cmdstanr
Published: 2025-04-03
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_0.2.0.tar.gz
Windows binaries: r-devel: RStanTVA_0.2.0.zip, r-release: RStanTVA_0.2.0.zip, r-oldrel: RStanTVA_0.2.0.zip
macOS binaries: r-devel (arm64): RStanTVA_0.2.0.tgz, r-release (arm64): RStanTVA_0.2.0.tgz, r-oldrel (arm64): RStanTVA_0.2.0.tgz, r-devel (x86_64): RStanTVA_0.2.0.tgz, r-release (x86_64): RStanTVA_0.2.0.tgz, r-oldrel (x86_64): RStanTVA_0.2.0.tgz

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.