SystemRequirements: libhdf5 (>= 1.8.x, v18 API) with C++ interface

SystemRequirements: libhdf5 (>= 1.8.x) with C++ interface

Suggests: testthat, roxygen2, RCurl, highlight

Suggests: testthat, roxygen2, highlight, zoo, microbenchmark

SystemRequirements: libhdf5 (>= 1.8.12) with C++ interface
Suggests: testthat, roxygen2, zoo, microbenchmark, knitr, rmarkdown

Description: A package for interfacing with HDF5 files.

Description: A package for reading and writing HDF5 files.

SystemRequirements: HDF5 software library and headers.

Title: Hierarchical Bayesian Modeling of Decision-Making Tasks
person("Woo-Young", "Ahn", email = "ahn.280@osu.edu", role = c("aut", "cre")),
person("Nate", "Haines", email = "haines.175@osu.edu", role = c("aut")),
person("Lei", "Zhang", email = "bnuzhanglei2008@gmail.com", role = c("aut")) )
Description: 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.
Imports: grid, parallel, mail, modeest, ggplot2

Imports: rstan (>= 2.14.1), rstantools (>= 1.1.0), loo, grid, parallel,

person("Woo-Young", "Ahn", email = "wooyoung.ahn@gmail.com", role = c("aut", "cre")),
Description: 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.

person("Lei", "Zhang", email = "bnuzhanglei2008@gmail.com", role = c("aut")),
person("Harhim", "Park", email = "hrpark12@gmail.com", role = c("ctb")),
person("Jaeyeong", "Yang", email = "jaeyeong.yang1125@gmail.com", role = c("ctb")),
person("Jethro", "Lee", email = "dlemfh96@snu.ac.kr", role = c("ctb")))
Fit an array of decision-making tasks with computational models in
Collate: 'HDIofMCMC.R' 'stanmodels.R' 'settings.R' 'hBayesDM_model.R'
'extract_ic.R' 'gng_m1.R' 'gng_m2.R' 'gng_m3.R' 'gng_m4.R'
'plotDist.R' 'plotHDI.R' 'plotInd.R' 'printFit.R' 'prl_ewa.R'
'rdt_happiness.R' 'rhat.R' 'ts_par4.R' 'ts_par6.R' 'ts_par7.R'