univariateML-package: univariateML

In univariateML: Maximum Likelihood Estimation for Univariate Densities

Description

An R-package for fast, easy, and reliable maximum likelihood estimation for a selection of parametric univariate densities.

Details

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")

Author(s)

Maintainer: Jonas Moss [e-mail] (ORCID)

Other contributors:

• Thomas Nagler [e-mail] [contributor]

See Also

Useful links:

• https://github.com/JonasMoss/univariateML

• https://jonasmoss.github.io/univariateML/

• Report bugs at https://github.com/JonasMoss/univariateML/issues

univariateML documentation built on Jan. 25, 2022, 5:09 p.m.