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rtmpt

Fitting (Exponential/Diffusion) RT-MPT Models

v2.0-3 · Mar 19, 2025 · GPL (>= 2)

Description

Fit (exponential or diffusion) response-time extended multinomial processing tree (RT-MPT) models by Klauer and Kellen (2018) <doi:10.1016/j.jmp.2017.12.003> 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).

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NOTE r-oldrel-macos-arm64

installed package size

  installed size is  7.7Mb
  sub-directories of 1Mb or more:
    libs   6.7Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  8.4Mb
  sub-directories of 1Mb or more:
    libs   7.4Mb
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-oldrel-macos-arm64

installed package size

  installed size is  7.7Mb
  sub-directories of 1Mb or more:
    libs   6.7Mb
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  8.4Mb
  sub-directories of 1Mb or more:
    libs   7.4Mb

Dependency Network

Dependencies Reverse dependencies coda data.table loo Ryacas stringr truncnorm rtmpt

Version History

new 2.0-3 Mar 9, 2026