{ "_id": "6a1edd13b401979e7340ff46", "Package": "miebl", "Title": "Performance Criteria Modeler for Discrete Trial Training", "Version": "0.1.0", "Authors@R": "person(\"Mark\", \"Ramos\", role = c(\"aut\", \"cre\",\"cph\"), email = \"mlr6219@psu.edu\")", "Description": "Provides a tool for computing probabilities and other\nquantities that are relevant in selecting performance criteria\nfor discrete trial training. The main function, miebl(),\ncomputes Bayesian and frequentist probabilities and bounds for\neach of n possible performance criterion choices when\nattempting to determine a student's true mastery level by\ncounting their number of successful attempts at displaying\nlearning among n trials. The reporting function miebl_re()\ntakes output from miebl() and prepares it into a brief report\nfor a specific criterion. miebl_cp() combines 2 to 5\ndistributions of true mastery level given performance criterion\nin one plot for comparison. Ramos (2025)\n.", "License": "GPL-3", "Encoding": "UTF-8", "RoxygenNote": "7.3.2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-20 08:20:31 UTC", "User": "root" }, "Author": "Mark Ramos [aut, cre, cph]", "Maintainer": "Mark Ramos ", "Repository": "https://mlr6219-ui.r-universe.dev", "Date/Publication": "2025-04-25 15:34:34 UTC", "RemoteUrl": "https://github.com/cran/miebl", "RemoteRef": "HEAD", "RemoteSha": "1d0a7cb57627c0dc2ae61da576d453c0f5963d1e", "MD5sum": "c8dc7bce3016638a3336c062da64feba", "_user": "mlr6219-ui", "_type": "src", "_file": "miebl_0.1.0.tar.gz", "_fileid": "2927f01961b5405bf6f123f9c97a582c4c0423ead2ba049724c5d5508a19421d", "_filesize": 80595, "_sha256": "2927f01961b5405bf6f123f9c97a582c4c0423ead2ba049724c5d5508a19421d", "_created": "2026-05-20T08:20:31.000Z", "_published": "2026-06-02T13:39:31.144Z", "_distro": "noble", "_jobs": [ { "job": 79084143166, "time": 100, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7104846276" }, { 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