Package: TreeBUGS
Version: 1.4.3
Date: 2019-04-03
Title: Hierarchical Multinomial Processing Tree Modeling
Authors@R: c(person("Daniel W.", "Heck", email="heck@uni-mannheim.de", role=c("aut","cre")),
             person("Nina R.", "Arnold", email="arnold@uni-mannheim.de", role = c("aut","dtc")),
             person("Denis", "Arnold", email="denis.arnold@uni-tuebingen.de", role = c("aut")),
             person("Alexander", "Ly", email="a.ly@uva.nl", role = c("ctb")),
             person("Marius", "Barth", email="marius.barth@uni-koeln.de", role = c("ctb")))
Maintainer: Daniel W. Heck <heck@uni-mannheim.de>
Depends: R (>= 3.0.0)
Imports: Rcpp (>= 0.12.6), runjags, stats, graphics, utils, grDevices,
        coda, parallel, rjags, MASS, hypergeo, logspline
Suggests: knitr, testthat, R.rsp
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr, R.rsp
NeedsCompilation: yes
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net)
Description: User-friendly analysis of hierarchical multinomial processing tree (MPT) 
    models that are often used in cognitive psychology. Implements the latent-trait 
    MPT approach (Klauer, 2010) <DOI:10.1007/s11336-009-9141-0> and the beta-MPT 
    approach (Smith & Batchelder, 2010) <DOI:10.1016/j.jmp.2009.06.007> to model 
    heterogeneity of participants. MPT models are conveniently specified by an
    .eqn-file as used by other MPT software and data are provided by a .csv-file 
    or directly in R. Models are either fitted by calling JAGS or by an MPT-tailored 
    Gibbs sampler in C++ (only for nonhierarchical and beta MPT models). Provides 
    tests of heterogeneity and MPT-tailored summaries and plotting functions.
    A detailed documentation is available in Heck, Arnold, & Arnold (2018) 
    <DOI:10.3758/s13428-017-0869-7>.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/denis-arnold/TreeBUGS
RoxygenNote: 6.1.1
LazyData: TRUE
Packaged: 2019-04-04 08:34:03 UTC; Daniel
Author: Daniel W. Heck [aut, cre],
  Nina R. Arnold [aut, dtc],
  Denis Arnold [aut],
  Alexander Ly [ctb],
  Marius Barth [ctb]
Repository: CRAN
Date/Publication: 2019-04-04 09:00:03 UTC
