{ "_id": "6ab9044199f7aa8c6aa39bcf", "Package": "MFT", "Type": "Package", "Title": "The Multiple Filter Test for Change Point Detection", "Version": "3.1", "Encoding": "UTF-8", "Date": "2026-09-15", "Authors@R": "c(person(given = \"Michael\",\nfamily = \"Messer\",\nrole = c(\"aut\", \"cre\"),\nemail = \"michaelmessermath@gmail.com\"),\nperson(given = \"Stefan\",\nfamily = \"Albert\",\nrole = \"aut\"),\nperson(given = \"Solveig\",\nfamily = \"Plomer\",\nrole = \"aut\"),\nperson(given = \"Gaby\",\nfamily = \"Schneider\",\nrole = \"aut\"))", "Maintainer": "Michael Messer ", "Description": "Provides statistical tests and algorithms for the\ndetection of change points in time series and point processes -\nparticularly for changes in the mean in time series and for\nchanges in the rate and in the variance in point processes.\nReferences - Michael Messer, Marietta Kirchner, Julia\nSchiemann, Jochen Roeper, Ralph Neininger and Gaby Schneider\n(2014), A multiple filter test for the detection of rate\nchanges in renewal processes with varying variance\n. Stefan Albert, Michael Messer, Julia\nSchiemann, Jochen Roeper, Gaby Schneider (2017), Multi-scale\ndetection of variance changes in renewal processes in the\npresence of rate change points .\nMichael Messer, Kaue M. Costa, Jochen Roeper and Gaby Schneider\n(2017), Multi-scale detection of rate changes in spike trains\nwith weak dependencies . Michael\nMesser, Stefan Albert and Gaby Schneider (2018), The multiple\nfilter test for change point detection in time series\n. Michael Messer, Hendrik\nBackhaus, Albrecht Stroh and Gaby Schneider (2020) A\nmulti-scale approach for testing and detecting peaks in time\nseries .", "License": "GPL-3", "RoxygenNote": "7.2.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-27 11:53:08 UTC", "User": "root" }, "Author": "Michael Messer [aut, cre], Stefan Albert [aut], Solveig Plomer\n[aut], Gaby Schneider [aut]", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-09-16 11:49:49 UTC", "RemoteUrl": "https://github.com/cran/MFT", "RemoteRef": "HEAD", "RemoteSha": "5e285ef775ba4b36c16d62ff0ec9bf2b92c5c499", "_user": "cran", "_type": "src", "_file": "MFT_3.1.tar.gz", "_fileid": "https://r2.ropensci.org/aaee257e9880b6bef14b3c1311fbefc5cedb583fc83d640f8cbad4cbe6b21967", "_filesize": 150221, "_sha256": "aaee257e9880b6bef14b3c1311fbefc5cedb583fc83d640f8cbad4cbe6b21967", "_expires": "2027-01-05T11:55:43.000Z", "_created": "2026-09-27T11:53:08.000Z", "_published": "2026-09-27T11:55:45.556Z", 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