Package: ForestFit
Type: Package
Title: Statistical Modelling for Plant Size Distributions
Author: Mahdi Teimouri
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 four - parameter 
			 Johnson SB distribution, and 9 ) Robust multiple linear regression analysis when error
			 term follows skewed t distribution.
Encoding: UTF-8
License: GPL (>= 2)
Depends: R(>= 3.3.0)
Imports: ars, pracma
Repository: CRAN
Version: 0.6.1
Date: 2020-07-08
NeedsCompilation: no
Packaged: 2020-07-08 10:55:01 UTC; NikPardaz
Date/Publication: 2020-07-08 11:10:02 UTC
