<?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>Smoothness-Penalized Deconvolution for Density Estimation Under
Measurement Error</dc:title>
  <dc:title>R package spedecon version 0.1</dc:title>
  <dc:description>Implements the Smoothness-Penalized Deconvolution method for estimating a probability density under measurement error of Kent and Ruppert (2023) &lt;doi:10.1080/01621459.2023.2259028&gt;. The estimator is formed by computing a histogram of the error-contaminated data, and then finding an estimate that minimizes a reconstruction error plus a smoothness-inducing penalty term. The primary function, sped(), takes the data and error distribution, and returns the estimator as a function.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: quadprog, splines, methods, stats, graphics</dc:relation>
  <dc:creator>David Kent &lt;dk657@cornell.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>David Kent [aut, cre] (ORCID: &lt;https://orcid.org/0000-0003-2880-1216&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2024-01-12</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=spedecon</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.spedecon</dc:identifier>
</oai_dc:dc>