ForestFit: Statistical Modelling for Plant Size Distributions

Developed for the following tasks . I ) Computing the probability density function , cumulative distribution function , random generation , and estimating the parameters of the eleven mixture models . II ) Point estimation of the parameters of two - parameter Weibull distribution using twelve methods and three - parameter Weibull distribution using nine methods . III ) The Bayesian estimators of the three - parameter Weibull distribution . IV ) 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 . V ) Estimating the parameters of the gamma , log-normal , and Weibull mixture models fitted to the grouped data through the EM algorithm , VI ) Estimating parameters of the nonlinear height curve fitted to the height - diameter observation , VII ) Estimating parameters , computing probability density function , cumulative distribution function , and generating realizations from gamma shape mixture model introduced by Venturini et al. (2008) <doi:10.1214/07-AOAS156> , and VIII ) Robust multiple linear regression analysis when error term follows skewed t distribution .

Version: 0.5.8
Depends: R (≥ 3.3.0)
Imports: ars, pracma
Published: 2020-05-23
Author: Mahdi Teimouri
Maintainer: Mahdi Teimouri <teimouri at aut.ac.ir>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: ForestFit results

Downloads:

Reference manual: ForestFit.pdf
Package source: ForestFit_0.5.8.tar.gz
Windows binaries: r-devel: ForestFit_0.5.8.zip, r-release: ForestFit_0.5.8.zip, r-oldrel: ForestFit_0.5.8.zip
macOS binaries: r-release: ForestFit_0.5.8.tgz, r-oldrel: ForestFit_0.5.8.tgz
Old sources: ForestFit archive

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