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 36.
Details
The currently supported models are mlbeta, mlbetapr, mlbinom, mlcauchy, mlexp, mlgamma, mlged, mlgeom, mlgumbel, mlinvgamma, mlinvgauss, mlinvweibull, mlkumar, mllaplace, mllgamma, mllgser, mlllogis, mllnorm, mllogis, mllogitnorm, mllomax, mlnaka, mlnbinom, mlnorm, mlpareto, mlpois, mlpower, mlrayleigh, mlsged, mlsnorm, mlsstd, mlstd, mlunif, mlweibull, mlzip, mlzipf
JonasMoss/univariateML documentation built on Nov. 3, 2024, 3:03 p.m.
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| 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 36.
Details
The currently supported models are mlbeta, mlbetapr, mlbinom, mlcauchy, mlexp, mlgamma, mlged, mlgeom, mlgumbel, mlinvgamma, mlinvgauss, mlinvweibull, mlkumar, mllaplace, mllgamma, mllgser, mlllogis, mllnorm, mllogis, mllogitnorm, mllomax, mlnaka, mlnbinom, mlnorm, mlpareto, mlpois, mlpower, mlrayleigh, mlsged, mlsnorm, mlsstd, mlstd, mlunif, mlweibull, mlzip, mlzipf
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.
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