<?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>Monte Carlo Trend Analysis</dc:title>
  <dc:title>R package MCTrend version 1.0.1</dc:title>
  <dc:description>Application of a test to rule out that trends detected in hydrological time series are explained exclusively by the randomness of the climate. Based on: Ricchetti, (2018) &lt;https://repositorio.uchile.cl/handle/2250/168487&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: trend, reshape2, ggplot2, magrittr, lmomco, dplyr</dc:relation>
  <dc:relation>Suggests: rmarkdown, knitr,</dc:relation>
  <dc:creator>Alonso Arriagada &lt;alonso.arriagada@usach.cl&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Alonso Arriagada [aut, cre]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2023-12-01</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=MCTrend</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.MCTrend</dc:identifier>
</oai_dc:dc>