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rtmpt  

Fitting (Exponential/Diffusion) RT-MPT Models
View on CRAN: Click here


Download and install rtmpt package within the R console
Install from CRAN:
install.packages("rtmpt")

Install from Github:
library("remotes")
install_github("cran/rtmpt")

Install by package version:
library("remotes")
install_version("rtmpt", "2.0-1")



Attach the package and use:
library("rtmpt")
Maintained by
Raphael Hartmann
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-07
Latest Update: 2022-04-10
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).
How to cite:
Raphael Hartmann (2019). rtmpt: Fitting (Exponential/Diffusion) RT-MPT Models. R package version 2.0-1, https://cran.r-project.org/web/packages/rtmpt. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.1-15 (2019-10-07 16:50), 0.1-16 (2019-10-08 14:00), 0.1-17 (2019-10-14 12:10), 0.1-18 (2020-02-04 10:50), 0.1-19 (2020-03-19 16:10), 0.2-0 (2021-05-24 19:30), 0.2-1 (2021-06-03 10:40), 0.2-2 (2021-10-11 10:10), 0.2-3 (2021-12-16 12:10), 1.0-0 (2022-04-10 11:40), 1.0-1 (2023-11-30 15:20), 2.0-0 (2023-12-13 15:50)
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