Package: ForestFit
Type: Package
Title: Statistical Modelling for Plant Size Distributions
Authors@R: person('Mahdi', 'Teimouri', email = 'teimouri@aut.ac.ir', role = c('aut', 'cre', 'cph', 'ctb'), comment = c(ORCID = '0000-0002-5371-9364'))
Author: Mahdi Teimouri [aut, cre, cph, ctb]
    (<https://orcid.org/0000-0002-5371-9364>)
Maintainer: Mahdi Teimouri <teimouri@aut.ac.ir>
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)
			 <doi:10.1214/07-AOAS156> , 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.
Encoding: UTF-8
License: GPL (>= 2)
Depends: R(>= 3.4.4)
Imports: ars, pracma
Repository: CRAN
Version: 2.4.3
Date: 2025-01-08
NeedsCompilation: no
LazyData: true
Packaged: 2025-01-09 16:50:12 UTC; NikPardaz
Date/Publication: 2025-01-09 17:30:11 UTC
Built: R 4.6.0; ; 2026-04-25 19:00:24 UTC; unix
