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.
Version: | 0.6.1 |
Depends: | R (≥ 3.3.0) |
Imports: | ars, pracma |
Published: | 2020-07-08 |
Author: | Mahdi Teimouri |
Maintainer: | Mahdi Teimouri <teimouri at aut.ac.ir> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
CRAN checks: | ForestFit results |
Reference manual: | ForestFit.pdf |
Package source: | ForestFit_0.6.1.tar.gz |
Windows binaries: | r-devel: ForestFit_0.6.1.zip, r-release: ForestFit_0.6.1.zip, r-oldrel: ForestFit_0.6.1.zip |
macOS binaries: | r-release: ForestFit_0.6.1.tgz, r-oldrel: ForestFit_0.6.1.tgz |
Old sources: | ForestFit archive |
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