mcmc_dm_to_coda_mcmc

Converts a 3D MCMC chain array (parameters × chains × iterations)
into a <code>coda::mcmc.list</code> object for compatibility with diagnostic and
summary functions from the <code>coda</code> package.

internal

Fit and explore Drift Diffusion Models (DDMs),
a common tool in psychology for describing decision processes in simple
tasks. It can handle both time-independent and time-dependent DDMs. You
either choose prebuilt models or create your own, and the package takes
care of model predictions and parameter estimation. Model predictions
are derived via the numerical solutions provided by Richter, Ulrich, and
Janczyk (2023, <doi:10.1016/j.jmp.2023.102756>).

Valentin Koob

dRiftDM

Estimating (Time-Dependent) Drift Diffusion Models

Thomas Richter

Markus Janczyk

mcmc_dm_to_coda_mcmc function

<dl><dt>chains</dt>
<dd>a 3D numeric array with dimensions corresponding to
parameters × chains × iterations. <code>chains</code> are typically obtained from a call
to <code>get_subset_chains()</code>.</dd></dl>

Arguments

Convert MCMC Chain Array to a coda::mcmc.list Object — mcmc_dm_to_coda_mcmc

<dl>

<dt>chains</dt>
<dd>a 3D numeric array with dimensions corresponding to
parameters × chains × iterations. <code>chains</code> are typically obtained from a call
to <code>get_subset_chains()</code>.</dd>

</dl>

mcmc_dm_to_coda_mcmc: Convert MCMC Chain Array to a `coda::mcmc.list` Object

Description

Usage

Value

Arguments

See Also