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.Rproject.org/package=numDeriv> or the option 'Hessian = TRUE' of 'optim' function.
Package details 


Maintainer  
License  GPL3 
Version  1.2.1 
URL  https://jaimemosg.github.io/EstimationTools/ https://github.com/Jaimemosg/EstimationTools 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.