evreg: evreg: Extreme value regression modelling
In pengyuwei94/evreg: Extreme value regression modelling
Description
Brief description of the package
Details
The package provides functions that model non-stationary extreme values using
univariate extreme value regression modelling, while also performing variable selection
to objectively determine the best model for a given dataset. This is achieved by using
generalized linear modelling for each parameter, and by fitting models with maximum
likelihood estimates.
See Also
gevreg GEV generalized linear regression modelling.
pengyuwei94/evreg documentation built on Aug. 29, 2019, 1:06 p.m.
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Description
Brief description of the package
Details
The package provides functions that model non-stationary extreme values using univariate extreme value regression modelling, while also performing variable selection to objectively determine the best model for a given dataset. This is achieved by using generalized linear modelling for each parameter, and by fitting models with maximum likelihood estimates.
See Also
gevreg GEV generalized linear regression modelling.
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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