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.

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Description file content

Package
EstimationTools
Type
Package
Title
Maximum Likelihood Estimation for Probability Functions from Data Sets
Version
1.2.0
Imports
Rdpack, knitr, rmarkdown
RdMacros
Rdpack
Suggests
gamlss.dist
Depends
R (>= 3.3.0), stats, DEoptim, boot, numDeriv, BBmisc
Description
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.
License
GPL-3
URL
Encoding
UTF-8
LazyData
true
RoxygenNote
6.1.1
NeedsCompilation
no
Packaged
2019-06-11 06:10:12 UTC; USUARIO
Author
Jaime Mosquera [aut, cre] (), Freddy Hernandez [aut] ()
Maintainer
Jaime Mosquera
Repository
CRAN
Date/Publication
2019-06-11 07:20:07 UTC

install.packages('EstimationTools')

1.2.0

5 days ago

https://github.com/Jaimemosg/EstimationTools

Jaime Mosquera

GPL-3

Depends on

R (>= 3.3.0), stats, DEoptim, boot, numDeriv, BBmisc

Imports

Rdpack, knitr, rmarkdown

Suggests

gamlss.dist

Discussions