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  "Title": "Calculates the Statistical Significance of a Trend in a Set of\nMeasurements",
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  "Authors@R": "person(\"Matthew\", \"Cserhati\", email=\"csmatyi@protonmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-3673-9152\"))",
  "Description": "Detection of a statistically significant trend in the data\nprovided by the user. This is based on the a signed test based\non the binomial distribution. The package returns a trend test\nvalue, T, and also a p-value. A T value close to 1 indicates a\nrising trend, whereas a T value close to -1 indicates a\ndecreasing trend. A T value close to 0 indicates no trend.\nThere is also a command to visualize the trend. A test data set\ncalled gtsa_data is also available, which has global mean\ntemperatures for January, April, July, and October for the\nyears 1851 to 2022. Reference: Walpole, Myers, Myers, Ye.\n(2007, ISBN: 0-13-187711-9).",
  "License": "GPL-3",
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    "Date": "2026-06-01 10:49:00 UTC",
    "User": "root"
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  "Author": "Matthew Cserhati [aut, cre]\n(<https://orcid.org/0000-0002-3673-9152>)",
  "Maintainer": "Matthew Cserhati <csmatyi@protonmail.com>",
  "Repository": "https://csmatyi.r-universe.dev",
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