compute_WAIC

Function to compute the Watanabe-Akaike information criterion (Gelman, Hwang,
Vehtari, 2014), which estimates the expected out-of-sample-prediction error
using a bias-corrected adjustment of within-sample error.

Implementation of the drift-diffusion mixed model for category learning as described in Paulon et al. (2021) <doi:10.1080/01621459.2020.1801448>.

Giorgio Paulon

lddmm

Longitudinal Drift-Diffusion Mixed Models (LDDMM)

Abhra Sarkar

compute_WAIC function

<dl><dt>model_fit</dt>
<dd>results of a model fit from the lddmm function</dd></dl>

Arguments

Calculate WAIC — compute_WAIC

<dl>

<dt>model_fit</dt>
<dd>results of a model fit from the lddmm function</dd>

</dl>

compute_WAIC: Calculate WAIC

Description

Usage

Value

Arguments