A package for interfacing with HDF5 files.

A package for reading and writing HDF5 files.

Hierarchical Bayesian Modeling of Decision-Making Tasks
c(
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")) )
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.
Woo-Young Ahn [aut, cre],
Nate Haines [aut],
Lei Zhang [aut]

rstan (>= 2.14.1), rstantools (>= 1.1.0), loo, grid, parallel,
mail, ggplot2, modeest

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")) )
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.
rstan (>= 2.14.1), rstantools (>= 1.1.0), loo (>= 1.1.0),
grid, parallel, mail, ggplot2

rstan (>= 2.17.0), rstantools (>= 1.4.0), loo (>= 1.1.0),
grid, parallel, ggplot2

rstan (>= 2.17.0), rstantools (>= 1.4.0), loo (>= 2.0), grid,
parallel, ggplot2

Woo-Young Ahn [aut, cre],
Nate Haines [aut],
Lei Zhang [aut],
Harhim Park [ctb],
Jaeyeong Yang [ctb],
Jethro Lee [ctb]
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")))
methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1), loo (>= 2.0),
grid, parallel, ggplot2, data.table
'HDIofMCMC.R' 'stanmodels.R' 'settings.R' 'hBayesDM_model.R'
'bandit2arm_delta.R' 'bandit4arm2_kalman_filter.R'
'bandit4arm_4par.R' 'bandit4arm_lapse.R' 'bart_par4.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'
'pst_gainloss_Q.R' 'ra_noLA.R' 'ra_noRA.R' 'ra_prospect.R'
'rdt_happiness.R' 'rhat.R' 'ts_par4.R' 'ts_par6.R' 'ts_par7.R'
'ug_bayes.R' 'ug_delta.R' 'wcs_sql.R' 'zzz.R'