Monte Carlo and Bayesian Stop-Signal Reaction Time Estimation
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Documentation for package ‘SSRTcalc’ version 2.1.1
Help Pages
| adaptive | Example adaptive stop-signal task data |
| fixed | Fixed-SSD stop-signal task data (motion discrimination) |
| integration_adaptiveSSD | Estimate SSRT via the integration method (adaptive / staircase SSD design) |
| integration_fixedSSD | Estimate SSRT via the integration method (fixed SSD design) |
| mean_adaptiveSSD | Estimate SSRT via the mean method (adaptive SSD design) |
| mean_fixedSSD | Estimate SSRT via the mean method (fixed SSD design) |
| ranef | Extract per-group random-effect summaries |
| ranef.ssrt_stan | Extract per-subject random effects from a hierarchical fit |
| run_all_mc | Run all four Monte Carlo analyses in one call |
| ssrt_boot | Bootstrap confidence intervals for SSRT |
| ssrt_power | Minimum trial count analysis via Monte Carlo |
| ssrt_robustness | Sensitivity of SSRT estimates to horse-race assumption violations |
| ssrt_simulate | Parametric Monte Carlo SSRT estimation via ex-Gaussian simulation |
| ssrt_stan | Bayesian SSRT estimation via Stan |
| ssrt_stan_compare | Compare base model vs. trigger-failure model |
| ssrt_stan_inhibition_fn | Posterior inhibition function |
| ssrt_stan_loo | Leave-one-out cross-validation for an ssrt_stan fit |
| ssrt_stan_pp_check | Posterior predictive checks for an ssrt_stan fit |