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. 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.
Encoding: UTF-8
License: GPL (>= 2)
Depends: R(>= 3.3.0)
Imports: ars, pracma
Repository: CRAN
Version: 0.5.9
Date: 2020-06-15
NeedsCompilation: no
Packaged: 2020-06-16 05:22:34 UTC; NikPardaz
Date/Publication: 2020-06-16 10:40:02 UTC

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. 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> , VIII ) Computing probability density function, cumulative
distribution function,	and generating realizations from four-parameter Johnson's SB distribution, and
VIIII ) 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: 0.6.0
Date: 2020-06-27
NeedsCompilation: no
Packaged: 2020-06-27 19:17:49 UTC; NikPardaz
Date/Publication: 2020-06-27 23:50:07 UTC