Package: rtmpt
Version: 1.0-0
Title: Fitting RT-MPT Models
Authors@R: c(person("Raphael", "Hartmann", email = "raphael.hartmann@protonmail.com", role = c("aut", "cre")),
             person("Karl C.", "Klauer", email="christoph.klauer@psychologie.uni-freiburg.de", role=c("cph", "aut", "ctb", "ths")),
			       person("Henrik", "Singmann", email="henrik.singmann@warwick.ac.uk", role=c("ctb")),
			       person("Jean Marie", "Linhart", email="jlinhart@stata.com", role=c("ctb")),
             person("Frederick", "Novomestky", email="fnovomes@poly.edu", role=c("ctb")))
Author: Raphael Hartmann [aut, cre],
  Karl C. Klauer [cph, aut, ctb, ths],
  Henrik Singmann [ctb],
  Jean Marie Linhart [ctb],
  Frederick Novomestky [ctb]
Maintainer: Raphael Hartmann <raphael.hartmann@protonmail.com>
Imports: coda, data.table, loo, methods, Ryacas, stats, stringr,
        truncnorm, utils
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
SystemRequirements: GSL (>=2.3)
Description: Fit response-time extended multinomial processing tree (RT-MPT) models by Klauer and
			Kellen (2018) <doi:10.1016/j.jmp.2017.12.003>. The RT-MPT class not only incorporate
			frequencies like traditional multinomial processing tree (MPT) models, but also latencies. This enables it
			to estimate process completion times and encoding plus motor execution times next to the process probabilities
			of traditional MPTs. 'rtmpt' is a Bayesian framework and posterior samples are sampled using a Metropolis-Gibbs
			sampler like the one described in the Klauer and Kellen (2018), but with some modifications. Other than in
			the original C++ program we use the free and open source GNU Scientific Library (GSL). There is also the
			possibility to suppress single process completion times.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
Packaged: 2022-04-10 08:56:29 UTC; fluffy
Repository: CRAN
Date/Publication: 2022-04-10 09:40:02 UTC
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Archs: i386, x64
