Jaimemosg/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.

Getting started

Package details

Maintainer
LicenseGPL-3
Version1.2.1
URL https://jaimemosg.github.io/EstimationTools/ https://github.com/Jaimemosg/EstimationTools
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("Jaimemosg/EstimationTools")
Jaimemosg/EstimationTools documentation built on Oct. 20, 2019, 8:22 a.m.