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.
Version: | 1.2.1 |
Depends: | R (≥ 3.3.0), DEoptim, boot, numDeriv, BBmisc |
Imports: | Rdpack, utils, stats |
Suggests: | gamlss.dist, survival, knitr, rmarkdown |
Published: | 2019-10-24 |
Author: | Jaime Mosquera |
Maintainer: | Jaime Mosquera <jmosquerag at unal.edu.co> |
BugReports: | https://github.com/Jaimemosg/EstimationTools/issues |
License: | GPL-3 |
URL: | https://jaimemosg.github.io/EstimationTools/, https://github.com/Jaimemosg/EstimationTools |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | EstimationTools results |
Reference manual: | EstimationTools.pdf |
Vignettes: |
Bootstrap implementation maxlogL: Maximum Likelihood estimation in R |
Package source: | EstimationTools_1.2.1.tar.gz |
Windows binaries: | r-devel: EstimationTools_1.2.1.zip, r-devel-gcc8: EstimationTools_1.2.1.zip, r-release: EstimationTools_1.2.1.zip, r-oldrel: EstimationTools_1.2.1.zip |
OS X binaries: | r-release: EstimationTools_1.2.1.tgz, r-oldrel: EstimationTools_1.2.1.tgz |
Old sources: | EstimationTools archive |
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