sigex.gausscheck: Wrapper for Shapiro-Wilks test of normality
In jlivsey/sigex: Ecce Signum: Multivariate Signal Extraction
View source: R/sigex.gausscheck.r
sigex.gausscheck R Documentation
Wrapper for Shapiro-Wilks test of normality
Description
Background:
model-fitting is an entropy maximizing transformation of
the data, producing residuals that should resemble
Gaussian white noise. We can test whether the
marginal distribution is normal with Shapiro-Wilks.
Usage
sigex.gausscheck(resids)
Arguments
resids
A T x N matrix of residuals
Value
tests: output of shapiro.tests routine of R
jlivsey/sigex documentation built on May 25, 2024, 4:17 a.m.
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View source: R/sigex.gausscheck.r
| sigex.gausscheck | R Documentation |
Wrapper for Shapiro-Wilks test of normality
Description
Background: model-fitting is an entropy maximizing transformation of the data, producing residuals that should resemble Gaussian white noise. We can test whether the marginal distribution is normal with Shapiro-Wilks.
Usage
sigex.gausscheck(resids)
Arguments
resids |
A T x N matrix of residuals |
Value
tests: output of shapiro.tests routine of R
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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