Maximum Likelihood Estimation for Probability Functions from Data Sets

Routines for parameter estimation for any probability density or mass function implemented in R via maximum likelihood (ML) given a data set. The main routines 'maxlogL' and 'maxlogLreg' are wrapper functions 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.


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2.0.0 by Jaime Mosquera, 5 months ago,

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

Documentation:   PDF Manual  

GPL-3 license

Imports Rdpack, utils, stats, numDeriv, boot, RCurl, foreign

Depends on DEoptim, survival, stringr, BBmisc

Suggests gamlss.dist, knitr, rmarkdown, AdequacyModel

See at CRAN