univariateML-package | R Documentation |
An R
-package for fast, easy, and reliable maximum likelihood
estimation for a selection of parametric univariate densities.
Data analysis often requires the estimation of univariate densities. Maximum likelihood estimation is sensible for almost every univariate density used in practice. Moreover, the maximum likelihood estimator is typically consistent and efficient.
The purpose of this package is to
Support maximum likelihood estimation of a large selection of densities.
Supports plenty of generics such as plot
and AIC
to
aid your data analysis.
Read the vignettes to learn more about univariateML:
browseVignettes(package = "univariateML")
Maintainer: Jonas Moss jonas.gjertsen@gmail.com (ORCID)
Other contributors:
Thomas Nagler mail@tnagler.com [contributor]
Chitu Okoli chitu.okoli@skema.edu [contributor]
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