hBayesDM: Hierarchical Bayesian Modeling of Decision-Making Tasks (original) (raw)
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:
1.2.1
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:
Published:
2022-09-23
DOI:
10.32614/CRAN.package.hBayesDM
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:
URL:
https://github.com/CCS-Lab/hBayesDM
NeedsCompilation:
yes
SystemRequirements:
GNU make
Citation:
Materials:
CRAN checks: