<?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>General Linear Blend Frequency Polygon Density Estimation</dc:title>
  <dc:title>R package GLBFP version 0.5.1</dc:title>
  <dc:description>Implements nonparametric density estimation with Averaged Shifted
    Histogram (ASH), Linear Blend Frequency Polygon (LBFP), and General Linear
    Blend Frequency Polygon (GLBFP) estimators. The package provides pointwise
    and grid-based estimation workflows, sparse-prefix grid-count computation,
    plotting helpers, and plug-in bandwidth selection. Methodological
    background follows Scott (1992) &lt;doi:10.1002/9780470316849&gt;, Terrell and
    Scott (1985) &lt;doi:10.1080/01621459.1985.10477163&gt;, and Carbon and
    Duchesne (2024) &lt;doi:10.1007/s10463-023-00883-5&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Imports: ggplot2, plotly</dc:relation>
  <dc:relation>Suggests: knitr, MASS, rmarkdown, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Aurélien Nicosia &lt;aurelien.nicosia@mat.ulaval.ca&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Aurélien Nicosia [aut, cre]</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2026-06-16</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=GLBFP</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.GLBFP</dc:identifier>
</oai_dc:dc>
