EstimationTools: Maximum Likelihood Estimation for Probability Functions from Data Sets

A routine for parameter estimation for any probability density or mass function implemented in R via maximum likelihood (ML) given a data set. This routine is a wrapper function specifically developed for ML estimation. There are included optimization procedures such as 'nlminb' and 'optim' from base package, and 'DEoptim' Mullen (2011) <doi: 10.18637/jss.v040.i06>. Standard errors are estimated with 'numDeriv' Gilbert (2011) <http://CRAN.R-project.org/package=numDeriv> or the option 'Hessian = TRUE' of 'optim' function.

Package details

AuthorJaime Mosquera [aut, cre] (<https://orcid.org/0000-0002-1684-4756>), Freddy Hernandez [aut] (<https://orcid.org/0000-0001-7459-3329>)
MaintainerJaime Mosquera <[email protected]>
LicenseGPL-3
Version1.2.1
URL https://jaimemosg.github.io/EstimationTools/ https://github.com/Jaimemosg/EstimationTools
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("EstimationTools")

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EstimationTools documentation built on Oct. 30, 2019, 9:41 a.m.