rtmpt: Fitting RT-MPT Models
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.
| Version: |
1.0-0 |
| Imports: |
coda, data.table, loo, methods, Ryacas, stats, stringr, truncnorm, utils |
| Suggests: |
knitr, rmarkdown |
| Published: |
2022-04-10 |
| 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 at protonmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| SystemRequirements: |
GSL (>=2.3) |
| Citation: |
rtmpt citation info |
| Materials: |
INSTALL |
| CRAN checks: |
rtmpt results |
Documentation:
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