{ "_id": "6a102a00acfb0bcc41c91b28", "Package": "segmag", "Type": "Package", "Version": "1.2.4", "Date": "2016-08-11", "Title": "Determine Event Boundaries in Event Segmentation Experiments", "Maintainer": "Frank Papenmeier ", "Author": "Frank Papenmeier [aut, cre], Konstantin Sering [ctb]", "Authors@R": "c(person(\"Frank\",\"Papenmeier\", role=c(\"aut\",\"cre\"),\nemail=\"frank.papenmeier@uni-tuebingen.de\"),\nperson(\"Konstantin\",\"Sering\", role=\"ctb\"))", "Description": "Contains functions that help to determine event boundaries\nin event segmentation experiments by bootstrapping a critical\nsegmentation magnitude under the null hypothesis that all key\npresses were randomly distributed across the experiment.\nSegmentation magnitude is defined as the sum of Gaussians\ncentered at the times of the segmentation key presses performed\nby the participants. Within a participant, the maximum of the\noverlaid Gaussians is used to prevent an excessive influence of\na single participant on the overall outcome (e.g. if a\nparticipant is pressing the key multiple times in succession).\nFurther functions are included, such as plotting the results.", "License": "GPL (>= 3)", "RoxygenNote": "5.0.1", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-13 07:09:38 UTC", "User": "root" }, "Repository": "https://frankpapenmeier.r-universe.dev", "Date/Publication": "2016-08-11 18:40:42 UTC", "RemoteUrl": "https://github.com/cran/segmag", "RemoteRef": "HEAD", "RemoteSha": "f24540505563b284ed8dfd2651485a55b6fe8304", "MD5sum": "59a6944a243e85322508769df5a348e6", "_user": "frankpapenmeier", "_type": "src", "_file": "segmag_1.2.4.tar.gz", "_fileid": "3f1f503e0b9784114c1b920891493b3e2ff79bb351a6b065ef5989e2c3447bca", "_filesize": 114521, "_sha256": "3f1f503e0b9784114c1b920891493b3e2ff79bb351a6b065ef5989e2c3447bca", "_created": 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