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fixed dataset: excluded subject 2 (no
recorded responses on any trial) and one invalid stop trial (recorded
reaction time of 0 ms), leaving 50 subjects and 28,799 trials. Go-trial
soa is now NA, matching the
adaptive dataset convention. See ?fixed.R/mc_extensions.R)ssrt_boot() – nonparametric bootstrap confidence
intervals for any SSRT estimator (integration_* or
mean_*), with print() and plot()
methods.ssrt_simulate() – parametric Monte Carlo via
ex-Gaussian simulation of the horse-race model, with optional
parameter-recovery checking via ssrt_true.ssrt_power() – minimum-trial-count / power analysis:
simulates datasets across a range of stop-trial counts and reports SE
and RMSE of the SSRT estimate as a function of sample size.ssrt_robustness() – sensitivity analysis for three
violations of the independent horse-race assumptions: go/stop process
correlation, trigger failures, and go-RT slowing on stop trials
(“stop-signal cost”).run_all_mc() – convenience wrapper running all four
analyses above.R/stan_extensions.R,
inst/stan/)ssrt_stan() – fits the independent horse-race model
with ex-Gaussian go- and stop-process distributions via Hamiltonian
Monte Carlo.
model = "single" (default) or
model = "hierarchical" (non-centred parameterisation across
subjects).trigger_failure = TRUE adds the trigger-failure
parameter of Matzke et al. (2013).cmdstanr (recommended) or
rstan as backend.print(), summary(), plot(),
coef() methods for ssrt_stan objects,
including posterior densities, trace plots, pairs plots (single-subject)
and a forest plot of per-subject SSRT (hierarchical).ranef() – new S3 generic (SSRTcalc previously had no
dependency that provided this), with a method for hierarchical
ssrt_stan fits returning per-subject posterior
summaries.ssrt_stan_pp_check() – posterior predictive check plots
for go RT and SSRT.ssrt_stan_inhibition_fn() – posterior inhibition
function P(inhibit | SSD) with a 90% credible band.ssrt_stan_compare() – fits the base and trigger-failure
models side by side and tabulates posterior SSRT summaries.ssrt_stan_loo() – LOO-CV via the loo
package (requires log_lik in generated quantities; the
function explains how to add it if absent).inst/stan/:
ssrt_single.stan and ssrt_hier.stan.R/helpers.R – shared internal utilities: ex-Gaussian
fitting (.fit_exgaussian), sampling
(.rexgaussian), CDF (.pexgaussian), trial
splitting (.split_trials), numerical inhibition-probability
quadrature (.p_inhibit_r), and posterior-draw extraction
helpers shared between the MC and Stan extensions.R/data.R – documentation for the bundled
adaptive dataset.testthat (edition 3) test suite covering
the core estimators, all four Monte Carlo functions, and the pure-R Stan
helpers (end-to-end Stan fitting tests are skipped automatically if
neither cmdstanr nor rstan is installed).Imports now includes graphics and
grDevices (used by the new plot.*
methods).integration_adaptiveSSD(),
integration_fixedSSD(), mean_adaptiveSSD(),
mean_fixedSSD().These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.