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Provides random generation,\ndensity functions, and custom response distributions for\nBayesian estimation with 'brms', covering discrete beta,\nordered beta and choice-confidence models for subjective\nratings; reaction time distributions such as the ex-Gaussian\nand the shifted log-normal, Wald, gamma and Weibull; and\nsequential sampling models of choice and reaction time,\nincluding the drift diffusion model (DDM), the racing diffusion\nmodel (RDM), the lognormal race model (LNR) and the linear\nballistic accumulator (LBA). The website provides examples and\ntutorials for using and interpreting the models. Methods are\ndescribed in Ratcliff and McKoon (2008)\n, Brown and Heathcote (2008)\n, Rouder et al. (2015)\n, Tillman et al. (2020)\n, Kubinec (2023)\n, and Sciandra et al. (2024)\n.", "URL": "https://github.com/DominiqueMakowski/cogmod,\nhttps://dominiquemakowski.github.io/cogmod/", "BugReports": "https://github.com/DominiqueMakowski/cogmod/issues", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "Additional_repositories": "https://mc-stan.org/r-packages/", "Config/Needs/website": "quarto", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "cmake make libicu-dev", "Repository": "https://dominiquemakowski.r-universe.dev", "Date/Publication": "2026-09-26 08:01:19 UTC", "RemoteUrl": "https://github.com/dominiquemakowski/cogmod", "RemoteRef": "HEAD", "RemoteSha": "991dd991e9c52479f817e2dba76026f633797404", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-26 08:13:50 UTC", "User": "root" }, "Author": "Dominique Makowski [aut, cre] (ORCID:\n)", "Maintainer": "Dominique Makowski ", "_user": "dominiquemakowski", "_type": "src", "_file": "cogmod_0.3.3.tar.gz", "_fileid": 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