ForestFit: Statistical Modelling for Plant Size Distributions

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) <doi:10.1214/07-AOAS156> , 8 ) The Bayesian inference, computing probability density function, cumulative distribution function, and generating realizations from four-parameter 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.

Version: 1.2.3
Depends: R (≥ 3.3.0)
Imports: ars, pracma
Published: 2021-10-16
Author: Mahdi Teimouri
Maintainer: Mahdi Teimouri <teimouri at aut.ac.ir>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: Distributions
CRAN checks: ForestFit results

Documentation:

Reference manual: ForestFit.pdf

Downloads:

Package source: ForestFit_1.2.3.tar.gz
Windows binaries: r-devel: ForestFit_1.2.3.zip, r-release: ForestFit_1.2.3.zip, r-oldrel: ForestFit_1.2.3.zip
macOS binaries: r-release (arm64): ForestFit_1.2.3.tgz, r-release (x86_64): ForestFit_1.2.3.tgz, r-oldrel: ForestFit_1.2.3.tgz
Old sources: ForestFit archive

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