univariateML_models: Implemented models
In JonasMoss/univariateML: Maximum Likelihood Estimation for Univariate Densities
univariateML_models R Documentation
Implemented models
Description
Vector of all supported models in univariateML.
Usage
univariateML_models
Format
An object of class character of length 29.
Details
The currently supported models are mlbeta, mlbetapr, mlcauchy, mlexp, mlgamma, mlged, mlgumbel, mlinvgamma, mlinvgauss, mlinvweibull, mlkumar, mllaplace, mllgamma, mlllogis, mllnorm, mllogis, mllogitnorm, mllomax, mlnaka, mlnorm, mlpareto, mlpower, mlrayleigh, mlsged, mlsnorm, mlsstd, mlstd, mlunif, mlweibull
JonasMoss/univariateML documentation built on Feb. 6, 2024, 2:21 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| univariateML_models | R Documentation |
Implemented models
Description
Vector of all supported models in univariateML.
Usage
univariateML_models
Format
An object of class character of length 29.
Details
The currently supported models are mlbeta, mlbetapr, mlcauchy, mlexp, mlgamma, mlged, mlgumbel, mlinvgamma, mlinvgauss, mlinvweibull, mlkumar, mllaplace, mllgamma, mlllogis, mllnorm, mllogis, mllogitnorm, mllomax, mlnaka, mlnorm, mlpareto, mlpower, mlrayleigh, mlsged, mlsnorm, mlsstd, mlstd, mlunif, mlweibull
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.