<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Calculates the Statistical Significance of a Trend in a Set of
Measurements</dc:title>
  <dc:title>R package binomialtrend version 0.0.0.3</dc:title>
  <dc:description>Detection of a statistically significant trend in the data provided by the user.
    This is based on the a signed test based on the binomial distribution.
    The package returns a trend test value, T, and also a p-value. A T value 
    close to 1 indicates a rising trend, whereas a T value close to -1 indicates a decreasing
    trend. A T value close to 0 indicates no trend. There is also a command to visualize
    the trend. A test data set called gtsa_data is also available, which has global mean 
    temperatures for January, April, July, and October for the years 1851 to 2022.
    Reference: Walpole, Myers, Myers, Ye. (2007, ISBN: 0-13-187711-9).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: pheatmap</dc:relation>
  <dc:creator>Matthew Cserhati &lt;csmatyi@protonmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Matthew Cserhati [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-3673-9152&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2022-12-19</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=binomialtrend</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.binomialtrend</dc:identifier>
</oai_dc:dc>
