hBayesDM: Hierarchical Bayesian Modeling of Decision-Making Tasks

Fit an array of decision-making tasks with computational models in a hierarchical Bayesian framework. Can perform hierarchical Bayesian analysis of various computational models with a single line of coding (Ahn et al., 2017) <doi:10.1162/CPSY_a_00002>.

Version: 1.0.2
Depends: R (≥ 3.4.0), Rcpp (≥ 0.12.0), methods
Imports: rstan (≥ 2.18.1), loo (≥ 2.0), grid, parallel, ggplot2, data.table
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: testthat
Published: 2019-11-13
Author: Woo-Young Ahn [aut, cre], Nate Haines [aut], Lei Zhang [aut], Harhim Park [ctb], Jaeyeong Yang [ctb], Jethro Lee [ctb]
Maintainer: Woo-Young Ahn <wooyoung.ahn at gmail.com>
BugReports: https://github.com/CCS-Lab/hBayesDM/issues
License: GPL-3
URL: https://github.com/CCS-Lab/hBayesDM
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: hBayesDM citation info
Materials: NEWS
CRAN checks: hBayesDM results

Downloads:

Reference manual: hBayesDM.pdf
Package source: hBayesDM_1.0.2.tar.gz
Windows binaries: r-devel: hBayesDM_1.0.2.zip, r-release: hBayesDM_1.0.1.zip, r-oldrel: hBayesDM_1.0.2.zip
OS X binaries: r-release: hBayesDM_1.0.2.tgz, r-oldrel: hBayesDM_1.0.2.tgz
Old sources: hBayesDM archive

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