<?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>Estimating Causal Dose Response Functions</dc:title>
  <dc:title>R package causaldrf version 0.4.2</dc:title>
  <dc:subject>CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference)</dc:subject>
  <dc:description>Functions and data to estimate causal dose response functions given continuous, ordinal, or binary treatments.  A description of the methods is given in Galagate (2016) &lt;https://drum.lib.umd.edu/handle/1903/18170&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R(&gt;= 3.1.2)</dc:relation>
  <dc:relation>Imports: mgcv, splines, stats, survey,</dc:relation>
  <dc:relation>Suggests: BayesTree, dplyr, foreign, Hmisc, knitr, MASS, nnet,
reshape2, rmarkdown, sas7bdat, testthat, tidyr</dc:relation>
  <dc:creator>Douglas Galagate &lt;galagated@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Douglas Galagate [cre],
  Joseph Schafer [aut]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=causaldrf/LICENSE)</dc:rights>
  <dc:date>2022-09-29</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=causaldrf</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.causaldrf</dc:identifier>
</oai_dc:dc>
