<?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>Statistical Modelling for Plant Size Distributions</dc:title>
  <dc:title>R package ForestFit version 2.4.3</dc:title>
  <dc:subject>CRAN Task View: Distributions (https://CRAN.R-project.org/view=Distributions)</dc:subject>
  <dc:description>Developed for the following tasks. 1 ) Computing the probability density function,
             cumulative distribution function, random generation, and estimating the parameters
 			 of the eleven mixture models. 2 ) Point estimation of the parameters of two - 
			 parameter Weibull distribution using twelve methods and three - parameter Weibull 
			 distribution using nine methods. 3 ) The Bayesian inference for the three - 
			 parameter Weibull distribution. 4 ) Estimating parameters of the three - parameter
			 Birnbaum - Saunders, generalized exponential, and Weibull distributions fitted to
			 grouped data using three methods including approximated maximum likelihood, 
			 expectation maximization, and maximum likelihood. 5 ) Estimating the parameters
			 of the gamma, log-normal, and Weibull mixture models fitted to the grouped data
			 through the EM algorithm, 6 ) Estimating parameters of the nonlinear height curve
			 fitted to the height - diameter observation, 7 ) Estimating parameters, computing
			 probability density function, cumulative distribution function, and generating
			 realizations from gamma shape mixture model introduced by Venturini et al. (2008)
			 &lt;doi:10.1214/07-AOAS156&gt; , 8 ) The Bayesian inference, computing probability
			 density function, cumulative distribution function, and generating realizations
			 from univariate and bivariate Johnson SB distribution, 9 ) Robust multiple linear
			 regression analysis when error term follows skewed t distribution, 10 ) Estimating 
			 parameters of a given distribution fitted to grouped data using method of maximum
			 likelihood, and 11 ) Estimating parameters of the Johnson SB distribution through 
			 the Bayesian, method of moment, conditional maximum likelihood, and two - percentile 
			 method.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R(&gt;= 3.4.4)</dc:relation>
  <dc:relation>Imports: ars, pracma</dc:relation>
  <dc:creator>Mahdi Teimouri &lt;teimouri@aut.ac.ir&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Mahdi Teimouri [aut, cre, cph, ctb] (ORCID:
    &lt;https://orcid.org/0000-0002-5371-9364&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2025-01-09</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ForestFit</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ForestFit</dc:identifier>
</oai_dc:dc>
