<?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>Variance Function Program</dc:title>
  <dc:title>R package VFP version 1.4.4</dc:title>
  <dc:description>
  Variance function estimation for models proposed by W. Sadler in his variance function program 
  ('VFP', www.aacb.asn.au/AACB/Resources/Variance-Function-Program). Here, the idea is
  to fit multiple variance functions to a data set and consequently assess which function reflects
  the relationship 'Var ~ Mean' best. For 'in-vitro diagnostic' ('IVD') assays modeling this relationship
  is of great importance when individual test-results are used for defining follow-up treatment of patients.  </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0), gnm</dc:relation>
  <dc:relation>Imports: VCA, MASS, utils, stats, graphics, grDevices, methods</dc:relation>
  <dc:relation>Suggests: RUnit, knitr, rmarkdown, prettydoc</dc:relation>
  <dc:creator>Andre Schuetzenmeister &lt;andre.schuetzenmeister@roche.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Andre Schuetzenmeister [cre, aut],
  Florian Dufey [aut],
  Andrea Geistanger [ctb]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2025-04-08</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=VFP</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.VFP</dc:identifier>
</oai_dc:dc>
