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 including mixture of BirnbaumSaunders, BurrXII, Chen, F, Frechet, gamma, Gompertz, loglogistic, lognormal, Lomax, and Weibull. II) Point estimation of the parameters of two and threeparameter Weibull distributions. In the case of twoparameter, twelve methods consist of generalized least square type 1, generalized least square type 2, Lmoment, maximum likelihood, logarithmic moment, moment, percentile, rank correlation, least square, weighted maximum likelihood, Ustatistic, weighted least square are used and investigated methods for the threeparameter case are: maximum likelihood, modified moment type 1, modified moment type 2, modified moment type 3, modified maximum likelihood type 1, modified maximum likelihood type 2, modified maximum likelihood type 3, modified maximum likelihood type 4, moment, maximum product spacing, TL moment, and weighted maximum likelihood. III) The Bayesian estimators of the threeparameter Weibull distribution developed by Green et al. (1994) <doi:10.2307/2533217>. IV) Estimating parameters of the threeparameter BirnbaumSaunders, 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, lognormal, and Weibull mixture models fitted to the grouped data through the EM algorithm, VI) Estimating parameters of the nonlinear height curve fitted to the heightdiameter observation, and 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:10.1214/07AOAS156>.
Package details 


Author  Mahdi Teimouri 
Maintainer  Mahdi Teimouri <[email protected]> 
License  GPL (>= 2) 
Version  0.4.7 
Package repository  View on CRAN 
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