{ "_id": "6ace2d33a14063b82c3b0d16", "Package": "SSRTcalc", "Type": "Package", "Title": "Monte Carlo and Bayesian Stop-Signal Reaction Time Estimation", "Version": "2.1.1", "Authors@R": "c(\nperson(\"Anton\", \"Leontyev\", , \"antonleontyev@missouristate.edu\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-8880-6161\")))", "Description": "Estimates stop-signal reaction time (SSRT) in the\nstop-signal task using the integration and mean methods\ndescribed by Verbruggen and colleagues (2019)\n. In addition to point estimates, the\npackage provides Monte Carlo tools (nonparametric bootstrap\nconfidence intervals, parametric ex-Gaussian simulation,\nminimum-trial-count and power analysis, and sensitivity\nanalysis under violations of the horse-race assumptions) and\nBayesian estimation via 'Stan', including single-subject and\nhierarchical ex-Gaussian horse-race models with an optional\ntrigger-failure parameter following Matzke and colleagues\n(2013) , posterior inhibition functions,\nand posterior predictive checks. The Bayesian layer works with\neither the 'cmdstanr' or 'rstan' backend.", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "LazyDataCompression": "xz", "RoxygenNote": "7.3.1", "Additional_repositories": "https://mc-stan.org/r-packages/", "Config/testthat/edition": "3", "URL": "https://github.com/agleontyev/SSRTcalc", "BugReports": "https://github.com/agleontyev/SSRTcalc/issues", "Repository": "https://agleontyev.r-universe.dev", "Date/Publication": "2026-07-05 21:57:34 UTC", "RemoteUrl": "https://github.com/agleontyev/ssrtcalc", "RemoteRef": "HEAD", "RemoteSha": "8749d9b6c392462f318334b42a366a205df91924", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-13 12:36:38 UTC", "User": "root" }, "Author": "Anton Leontyev [aut, cre] (ORCID:\n)", "Maintainer": "Anton Leontyev ", "_user": "agleontyev", "_type": "src", "_file": "SSRTcalc_2.1.1.tar.gz", "_fileid": "https://r2.ropensci.org/46941b026c4df2e26b675af48da1ddca3e2b0e8edae424c69f46e33c4c6ac5f1", "_filesize": 265750, 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