[aut, cre],
Freddy Hernandez [aut]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: | 1.2.0 |
| Depends: | R (≥ 3.3.0), stats, DEoptim, boot, numDeriv, BBmisc |
| Imports: | Rdpack, knitr, rmarkdown |
| Suggests: | gamlss.dist |
| Published: | 2019-06-11 |
| Author: | Jaime Mosquera [aut, cre],
Freddy Hernandez [aut] |
| Maintainer: | Jaime Mosquera <jmosquerag at unal.edu.co> |
| License: | GPL-3 |
| URL: | https://github.com/Jaimemosg/EstimationTools |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | EstimationTools results |
| Reference manual: | EstimationTools.pdf |
| Package source: | EstimationTools_1.2.0.tar.gz |
| Windows binaries: | r-devel: EstimationTools_1.2.0.zip, r-release: EstimationTools_1.2.0.zip, r-oldrel: EstimationTools_1.2.0.zip |
| OS X binaries: | r-release: EstimationTools_1.2.0.tgz, r-oldrel: EstimationTools_1.2.0.tgz |
| Old sources: | EstimationTools archive |
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