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  "Title": "The Multiple Filter Test for Change Point Detection",
  "Version": "2.0",
  "Date": "2019-03-11",
  "Author": "Michael Messer, Stefan Albert, Solveig Plomer, Gaby Schneider",
  "Maintainer": "Michael Messer <messer@math.uni-frankfurt.de>",
  "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<doi:10.1214/14-AOAS782>. 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 <doi:10.1111/jtsa.12254>.\nMichael Messer, Kaue M. Costa, Jochen Roeper and Gaby Schneider\n(2017), Multi-scale detection of rate changes in spike trains\nwith weak dependencies <doi:10.1007/s10827-016-0635-3>. Michael\nMesser, Stefan Albert and Gaby Schneider (2018), The multiple\nfilter test for change point detection in time series\n<doi:10.1007/s00184-018-0672-1>. Michael Messer, Hendrik\nBackhaus, Albrecht Stroh and Gaby Schneider (2019+) Peak\ndetection in time series.",
  "License": "GPL-3",
  "RoxygenNote": "6.1.1",
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  "Date/Publication": "2019-03-11 19:42:55 UTC",
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