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.

Version: 0.7.0
Depends: R (≥ 3.4.0)
Imports: methods, Rcpp (≥ 0.12.0), rstan (≥ 2.18.1), loo (≥ 2.0), grid, parallel, ggplot2, data.table
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥, rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Published: 2018-12-13
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://rpubs.com/CCSL/hBayesDM
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: hBayesDM citation info
Materials: NEWS
CRAN checks: hBayesDM results


Reference manual: hBayesDM.pdf
Package source: hBayesDM_0.7.0.tar.gz
Windows binaries: r-devel: hBayesDM_0.7.0.zip, r-release: hBayesDM_0.7.0.zip, r-oldrel: hBayesDM_0.7.0.zip
OS X binaries: r-release: hBayesDM_0.7.0.tgz, r-oldrel: hBayesDM_0.7.0.tgz
Old sources: hBayesDM archive


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