D.test: Determination of significance between models
In rsnotivoli/nspotPrec: NSPOT analysis of daily precipitation and climate indices.
Description
Usage
Arguments
Details
Value
Description
D.test determines the significance of non-stationary over stationary POT model based on the likelihood test, at significant level sign.
Usage
1
Arguments
nsModel
non-stationary model (gpd object).
sModel
stationary model (gpd object).
sign
(optional) significance level (0.05 as default).
Details
Hypothesis: the NSPOT model is better -> yields TRUE; H0: the stationary model is better -> yields FALSE.
Value
D.test result.
rsnotivoli/nspotPrec documentation built on Dec. 22, 2021, 7:18 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.
Description Usage Arguments Details Value
Description
D.test determines the significance of non-stationary over stationary POT model based on the likelihood test, at significant level sign.
Usage
1 |
Arguments
nsModel |
non-stationary model (gpd object). |
sModel |
stationary model (gpd object). |
sign |
(optional) significance level (0.05 as default). |
Details
Hypothesis: the NSPOT model is better -> yields TRUE; H0: the stationary model is better -> yields FALSE.
Value
D.test result.
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.