<?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>Forecast the Diffusion of New Products</dc:title>
  <dc:title>R package diffusion version 0.4.0</dc:title>
  <dc:subject>CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries)</dc:subject>
  <dc:description>Various diffusion models to forecast new product growth. Currently
    the package contains Bass, Gompertz, Gamma/Shifted Gompertz and Weibull curves. See
    Meade and Islam (2006) &lt;doi:10.1016/j.ijforecast.2006.01.005&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: nloptr, systemfit, optimx</dc:relation>
  <dc:creator>Oliver Schaer &lt;info@oliverschaer.ch&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Oliver Schaer [aut, cre] (Assistant Professor, LeBow College of
    Business, Drexel University, USA),
  Nikolaos Kourentzes [aut] (Professor of Predictive Analytics, School of
    Informatics, Skoevde University, Sweden),
  Ivan Svetunkov [aut] (Lecturer at Centre for Marketing Analytics and
    Forecasting, Lancaster University, UK)</dc:contributor>
  <dc:rights>LGPL-2.1</dc:rights>
  <dc:date>2024-04-16</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=diffusion</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.diffusion</dc:identifier>
</oai_dc:dc>
