ranef.ssrt_stan

Extract per-subject random effects from a hierarchical fit

Estimates stop-signal reaction time (SSRT) in the stop-signal
task using the integration and mean methods described by Verbruggen and
colleagues (2019) <doi:10.7554/eLife.46323>. In addition to point
estimates, the package provides Monte Carlo tools (nonparametric bootstrap
confidence intervals, parametric ex-Gaussian simulation, minimum-trial-count
and power analysis, and sensitivity analysis under violations of the
horse-race assumptions) and Bayesian estimation via 'Stan', including
single-subject and hierarchical ex-Gaussian horse-race models with an
optional trigger-failure parameter following Matzke and colleagues (2013)
<doi:10.1037/a0030543>, posterior inhibition functions, and posterior
predictive checks. The Bayesian layer works with either the 'cmdstanr' or
'rstan' backend.

Anton Leontyev

SSRTcalc

Monte Carlo and Bayesian Stop-Signal Reaction Time Estimation

ranef.ssrt_stan function

<dl><dt>object</dt>
<dd>An <code>ssrt_stan</code> object from a hierarchical model.</dd>
<dt>...</dt>
<dd>Unused.</dd></dl>

Arguments

Extract per-subject random effects from a hierarchical fit — ranef.ssrt_stan

<dl>

<dt>object</dt>
<dd>An <code>ssrt_stan</code> object from a hierarchical model.</dd>


<dt>...</dt>
<dd>Unused.</dd>

</dl>

ranef.ssrt_stan: Extract per-subject random effects from a hierarchical fit

Description

Usage

Value

Arguments