Package: hBayesDM
Title: Hierarchical Bayesian Modeling of Decision-Making Tasks
Version: 1.2.1
Date: 2022-09-13
Author: Woo-Young Ahn [aut, cre],
  Nate Haines [aut],
  Lei Zhang [aut],
  Harhim Park [ctb],
  Jaeyeong Yang [ctb],
  Jethro Lee [ctb]
Authors@R: c(
    person("Woo-Young", "Ahn", email = "wooyoung.ahn@gmail.com", 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")),
    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")))
Maintainer: Woo-Young Ahn <wooyoung.ahn@gmail.com>
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
    (Ahn et al., 2017) <doi:10.1162/CPSY_a_00002>.
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)
URL: https://github.com/CCS-Lab/hBayesDM
BugReports: https://github.com/CCS-Lab/hBayesDM/issues
License: GPL-3
NeedsCompilation: yes
Encoding: UTF-8
RoxygenNote: 7.2.1
SystemRequirements: GNU make
Collate: 'HDIofMCMC.R' 'preprocess_funcs.R' 'stanmodels.R' 'settings.R'
        'hBayesDM_model.R' 'alt_delta.R' 'alt_gamma.R'
        'bandit2arm_delta.R' 'bandit4arm2_kalman_filter.R'
        'bandit4arm_2par_lapse.R' 'bandit4arm_4par.R'
        'bandit4arm_lapse.R' 'bandit4arm_lapse_decay.R'
        'bandit4arm_singleA_lapse.R' 'banditNarm_2par_lapse.R'
        'banditNarm_4par.R' 'banditNarm_delta.R'
        'banditNarm_kalman_filter.R' 'banditNarm_lapse.R'
        'banditNarm_lapse_decay.R' 'banditNarm_singleA_lapse.R'
        'bart_ewmv.R' 'bart_par4.R' 'cgt_cm.R' 'choiceRT_ddm.R'
        'choiceRT_ddm_single.R' 'choiceRT_lba.R'
        'choiceRT_lba_single.R' 'cra_exp.R' 'cra_linear.R'
        'dbdm_prob_weight.R' 'dd_cs.R' 'dd_cs_single.R' 'dd_exp.R'
        'dd_hyperbolic.R' 'dd_hyperbolic_single.R' 'estimate_mode.R'
        'extract_ic.R' 'gng_m1.R' 'gng_m2.R' 'gng_m3.R' 'gng_m4.R'
        'hBayesDM.R' 'igt_orl.R' 'igt_pvl_decay.R' 'igt_pvl_delta.R'
        'igt_vpp.R' 'multiplot.R' 'peer_ocu.R' 'plot.hBayesDM.R'
        'plotDist.R' 'plotHDI.R' 'plotInd.R' 'printFit.R' 'prl_ewa.R'
        'prl_fictitious.R' 'prl_fictitious_multipleB.R'
        'prl_fictitious_rp.R' 'prl_fictitious_rp_woa.R'
        'prl_fictitious_woa.R' 'prl_rp.R' 'prl_rp_multipleB.R'
        'pstRT_ddm.R' 'pstRT_rlddm1.R' 'pstRT_rlddm6.R' 'pst_Q.R'
        'pst_gainloss_Q.R' 'ra_noLA.R' 'ra_noRA.R' 'ra_prospect.R'
        'rdt_happiness.R' 'rhat.R' 'task2AFC_sdt.R' 'ts_par4.R'
        'ts_par6.R' 'ts_par7.R' 'ug_bayes.R' 'ug_delta.R' 'wcs_sql.R'
        'zzz.R'
Suggests: testthat
Packaged: 2022-09-23 07:42:58 UTC; hoyoung
Repository: CRAN
Date/Publication: 2022-09-23 08:30:02 UTC
Built: R 4.4.0; powerpc-apple-darwin10.0.0d2; 2024-06-09 14:18:14 UTC; unix
