Package: rtmpt Version: 2.0-4 Title: Fitting (Exponential/Diffusion) 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("Constantin G.", "Meyer-Grant", email="meyer-grant@psychologie.uni-freiburg.de", role=c("aut", "ctb")), person("Henrik", "Singmann", email="henrik.singmann@warwick.ac.uk", role=c("ctb", "aut")), 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], Constantin G. Meyer-Grant [aut, ctb], Henrik Singmann [ctb, aut], Jean Marie Linhart [ctb], Frederick Novomestky [ctb] Maintainer: Raphael Hartmann Imports: coda, data.table, loo, methods, Ryacas, stats, stringr, truncnorm, utils Suggests: knitr, rmarkdown Depends: R (>= 3.5.0) VignetteBuilder: knitr NeedsCompilation: yes SystemRequirements: GSL (>=2.3) Description: Fit (exponential or diffusion) response-time extended multinomial processing tree (RT-MPT) models by Klauer and Kellen (2018) and Klauer, Hartmann, and Meyer-Grant (submitted). 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 hierarchical Bayesian framework and posterior samples are sampled using a Metropolis-within-Gibbs sampler (for exponential RT-MPTs) or Hamiltonian-within-Gibbs sampler (for diffusion RT-MPTs). License: GPL (>= 2) Encoding: UTF-8 LazyData: true RoxygenNote: 7.3.2 Config/pak/sysreqs: libgsl0-dev libicu-dev Repository: https://raphaelhartmann.r-universe.dev Date/Publication: 2025-10-24 11:18:57 UTC RemoteUrl: https://github.com/raphaelhartmann/rtmpt RemoteRef: HEAD RemoteSha: 3ae460d37408f5b3e213f54b72b137c91fc633e9 Packaged: 2026-06-21 10:35:23 UTC; root