CheckDMI

prior

theta1

nchain

Return a model object extracted either from a data model instance or
an object storing posterior samples. The function checks also<ol>
<li>When x stores DMI of one participant, if DMI is a <code>data.frame</code>,</li>
<li>When x is an object of posterior samples, if x is a list of many subjects,</li>
<li>whether model is successfully created,</li>
<li>whether prior is suppled or we can extract it from 'samples'</li>
</ol>

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.

CheckDMI: Check Data Model Instance

Description

Usage

Arguments