EstimationTools (1.2.1)

0 users

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) or the option 'Hessian = TRUE' of 'optim' function.

Maintainer: Jaime Mosquera
Author(s): Jaime Mosquera [aut, cre] (<>), Freddy Hernandez [aut] (<>)

License: GPL-3

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

Released about 1 month ago.

2 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of EstimationTools yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for EstimationTools on google, google scholar, r-help, r-devel.

Visit EstimationTools on R Graphical Manual.