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.

Getting started

Package details

AuthorRaphael Hartmann [aut, cre], Karl C. Klauer [cph, aut, ctb, ths], Henrik Singmann [aut, ctb, cph], Jean Marie Linhart [cph]
MaintainerRaphael Hartmann <[email protected]>
LicenseGPL (>= 2)
Version0.1-17
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("rtmpt")

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rtmpt documentation built on Oct. 30, 2019, 9:49 a.m.