{ "_id": "6ac39cbf192c10f297259125", "Package": "ggdmcModel", "Title": "Model Builders for 'ggdmc' Package", "Version": "0.2.9.0", "Date": "2025-07-15", "Authors@R": "c(person(given = \"Yi-Shin\", family = \"Lin\", role = c(\"aut\", \"cre\"), email = \"yishinlin001@gmail.com\"))", "Maintainer": "Yi-Shin Lin ", "Description": "A suite of tools for specifying and examining experimental\ndesigns related to choice response time models (e.g., the\nDiffusion Decision Model). This package allows users to define\nhow experimental factors influence one or more model parameters\nusing R-style formula syntax, while also checking the logical\nconsistency of these associations. Additionally, it integrates\nwith the 'ggdmc' package, which employs Differential Evolution\nMarkov Chain Monte Carlo (DE-MCMC) sampling to optimise model\nparameters. For further details on the model-building approach,\nsee Heathcote, Lin, Reynolds, Strickland, Gretton, and Matzke\n(2019) .", "License": "GPL (>= 2)", "URL": "https://github.com/yxlin/ggdmcModel", "RoxygenNote": "7.3.2", "Encoding": "UTF-8", "NeedsCompilation": "yes", "Repository": "https://yxlin.r-universe.dev", "Date/Publication": "2025-08-11 00:45:40 UTC", "RemoteUrl": "https://github.com/yxlin/ggdmcmodel", "RemoteRef": "HEAD", "RemoteSha": "ace25162415954f1da3f6821c6d63df61ad5852e", "Packaged": { "Date": "2026-10-05 12:43:45 UTC", "User": "root" }, "Author": "Yi-Shin Lin [aut, cre]", "_user": "yxlin", "_type": "src", "_file": "ggdmcModel_0.2.9.0.tar.gz", "_fileid": "https://r2.ropensci.org/46a30209c38d6fbc0e0d02063d9b13e0c3b53c9a375b0bbdffb04e1219a9160a", "_filesize": 157176, "_sha256": "46a30209c38d6fbc0e0d02063d9b13e0c3b53c9a375b0bbdffb04e1219a9160a", "_expires": "2027-01-13T12:49:02.000Z", "_created": "2026-10-05T12:43:45.000Z", "_published": "2026-10-05T12:49:03.835Z", 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