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<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>Tidy Quantitative Financial Analysis</dc:title>
  <dc:title>R package tidyquant version 1.0.12</dc:title>
  <dc:subject>CRAN Task View: Finance (https://CRAN.R-project.org/view=Finance)</dc:subject>
  <dc:description>Bringing business and financial analysis to the 'tidyverse'. The 'tidyquant' 
    package provides a convenient wrapper to various 'xts', 'zoo', 'quantmod', 'TTR' 
    and 'PerformanceAnalytics' package 
    functions and returns the objects in the tidy 'tibble' format. The main 
    advantage is being able to use quantitative functions with the 'tidyverse'
    functions including 'purrr', 'dplyr', 'tidyr', 'ggplot2', 'lubridate', etc. See 
    the 'tidyquant' website for more information, documentation and examples.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0),</dc:relation>
  <dc:relation>Imports: dplyr (&gt;= 1.0.0), ggplot2 (&gt;= 3.4.0), httr, httr2, curl,
jsonlite, lazyeval, lubridate, magrittr, PerformanceAnalytics,
RobStatTM, quantmod (&gt;= 0.4-13), purrr, readr, readxl, stringr,
tibble, tidyr (&gt;= 1.0.0), timetk (&gt;= 2.4.0), timeDate, TTR,
xts, rlang, zoo, cli</dc:relation>
  <dc:relation>Suggests: alphavantager (&gt;= 0.1.2), riingo, tibbletime, broom, knitr,
forcats, rmarkdown, testthat (&gt;= 2.1.0), scales, Rblpapi,
janitor</dc:relation>
  <dc:creator>Matt Dancho &lt;mdancho@business-science.io&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Matt Dancho [aut, cre],
  Davis Vaughan [aut]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=tidyquant/LICENSE)</dc:rights>
  <dc:date>2026-03-16</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=tidyquant</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.tidyquant</dc:identifier>
</oai_dc:dc>
