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) . Standard errors are estimated with 'numDeriv' Gilbert (2011) < http://CRAN.R-project.org/package=numDeriv> or the option 'Hessian = TRUE' of 'optim' function.


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install.packages("EstimationTools")

1.2.1 by Jaime Mosquera, 2 months ago


https://jaimemosg.github.io/EstimationTools/, https://github.com/Jaimemosg/EstimationTools


Report a bug at https://github.com/Jaimemosg/EstimationTools/issues


Browse source code at https://github.com/cran/EstimationTools


Authors: Jaime Mosquera [aut, cre] , Freddy Hernandez [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports Rdpack, utils, stats

Depends on DEoptim, boot, numDeriv, BBmisc

Suggests gamlss.dist, survival, knitr, rmarkdown


See at CRAN