adaptive

A long-format dataset from a stop-signal task using an adaptive
(staircase-tracking) stop-signal delay, suitable for demonstrating every
function in SSRTcalc.

datasets

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

adaptive function

A data frame with 4000 rows (20 subjects x 200 trials) and 6
 columns:<dl>
 <dt>SubjID</dt>
<dd>Integer subject identifier (1-20).</dd> <dt>trial</dt>
<dd>Integer trial number within subject (1-200).</dd> <dt>vol</dt>
<dd>Trial type: <code>0</code> = go trial, <code>1</code> = stop trial.</dd> <dt>RT_exp</dt>
<dd>Observed reaction time in milliseconds. <code>NA</code> on
 successfully inhibited stop trials.</dd> <dt>correct</dt>
<dd>Accuracy indicator (<code>1</code> = correct response on go
 trials, or successful inhibition on stop trials; <code>0</code> otherwise).</dd> <dt>soa</dt>
<dd>Stop-signal delay (SOA) in milliseconds for stop trials;
 <code>NA</code> on go trials. Adjusted trial-by-trial by a staircase
 algorithm to track ~50% inhibition.</dd>
</dl>

Format

Example adaptive stop-signal task data — adaptive

A data frame with 4000 rows (20 subjects x 200 trials) and 6
 columns:<dl>
 <dt>SubjID</dt>
<dd>Integer subject identifier (1-20).</dd>

 <dt>trial</dt>
<dd>Integer trial number within subject (1-200).</dd>

 <dt>vol</dt>
<dd>Trial type: <code>0</code> = go trial, <code>1</code> = stop trial.</dd>

 <dt>RT_exp</dt>
<dd>Observed reaction time in milliseconds. <code>NA</code> on
 successfully inhibited stop trials.</dd>

 <dt>correct</dt>
<dd>Accuracy indicator (<code>1</code> = correct response on go
 trials, or successful inhibition on stop trials; <code>0</code> otherwise).</dd>

 <dt>soa</dt>
<dd>Stop-signal delay (SOA) in milliseconds for stop trials;
 <code>NA</code> on go trials. Adjusted trial-by-trial by a staircase
 algorithm to track ~50% inhibition.</dd>


</dl>

adaptive: Example adaptive stop-signal task data

Description

Usage

Arguments

Format

Examples