random

a character string indicating the model type

type

a matrox of accumulator x parameter

pmat

an integer specifying if and how the random number generator
should be initialized.

seed

A wrapper function to <code>rd</code>, <code>norm</code>, <code>norm_pda</code>,
<code>norm_pda_gpu</code>, <code>plba0_gpu</code>, <code>plba1</code>, <code>plba_gpu</code>,
<code>plba2</code>, <code>plba3</code>, <code>lnr</code>, and <code>cnorm</code> models.

Hierarchical Bayesian modelling. The 'ggdmc' package provides tools designed for fitting cognitive models, using population-based Markov Chain Monte Carlo (pMCMC) and fast C++ libraries. The paper by Heathcote, Lin, Reynolds, Strickland, Gretton, and Matzke (2018, <doi:10.3758/s13428-018-1067-y>) describes the early prototype of the package (by the version 0.4.2). The paper accompanied with the revamped latest version (> 0.2.4.5) is under preparation Lin, Strickland, Reynold, and Heathcote (2018) and a further paper regarding the new pMCMC sampling modified based on Hu and Tsai's (2010) work is also under preparation. See 'citation("ggdmc")' for details.

random: Generate random variates of various cognitive models

Description

Usage

Arguments