<?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>Time Series Forecasting using Nonlinear Growth Models</dc:title>
  <dc:title>R package tsfngm version 0.1.0</dc:title>
  <dc:description>Nonlinear growth models are extremely useful in gaining insight into the underlying mechanism. These models are generally 'mechanistic,' with parameters that have biological meaning. This package allows you to fit and forecast time series data using nonlinear growth models. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.6),stats</dc:relation>
  <dc:creator>Mrinmoy Ray &lt;mrinmoy4848@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Mrinmoy Ray [aut, cre],
  K. N. Singh [ctb],
  Kanchan Sinha [ctb],
  Rajeev Ranjan Kumar [ctb],
  Prakash Kumar [ctb]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2021-09-23</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=tsfngm</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.tsfngm</dc:identifier>
</oai_dc:dc>
