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] () Maintainer: Mahdi Teimouri 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) , 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 Version: 2.4.3 Date: 2025-01-08 NeedsCompilation: no LazyData: true Packaged: 2026-06-15 11:13:31 UTC; root Repository: https://mahditeimouri.r-universe.dev Date/Publication: 2025-01-09 17:30:11 UTC RemoteUrl: https://github.com/cran/ForestFit RemoteRef: HEAD RemoteSha: e20656dc0e23df5a09d2f8ba8743a6b563c360cb