EstimationTools (1.2.1)

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Maximum Likelihood Estimation for Probability Functions from Data Sets.

https://jaimemosg.github.io/EstimationTools/
https://github.com/Jaimemosg/EstimationTools
http://cran.r-project.org/web/packages/EstimationTools

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) . Standard errors are estimated with 'numDeriv' Gilbert (2011) or the option 'Hessian = TRUE' of 'optim' function.

Maintainer: Jaime Mosquera
Author(s): Jaime Mosquera [aut, cre] (<https://orcid.org/0000-0002-1684-4756>), Freddy Hernandez [aut] (<https://orcid.org/0000-0001-7459-3329>)

License: GPL-3

Uses: BBmisc, boot, DEoptim, numDeriv, Rdpack, gamlss.dist, survival, knitr, rmarkdown

Released about 1 month ago.


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