da.lmWithCov.fit: Provides coefficient of determination for linear models,...
In dominanceanalysis: Dominance Analysis
View source: R/daFitFunctions.r
da.lmWithCov.fit R Documentation
Provides coefficient of determination for linear models, using covariance/correlation matrix.
Description
Uses R^2 (coefficient of determination).
See lmWithCov.
Usage
da.lmWithCov.fit(base.cov, ...)
Arguments
base.cov
variance/covariance matrix
...
ignored
Value
A function described by using-fit-indices description for interface.
You could retrieve r2 index.
See Also
Other fit indices:
da.betareg.fit(),
da.clm.fit(),
da.dynlm.fit(),
da.glm.fit(),
da.lm.fit(),
da.lmerMod.fit(),
da.mlmWithCov.fit()
dominanceanalysis documentation built on May 29, 2024, 2:28 a.m.
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View source: R/daFitFunctions.r
| da.lmWithCov.fit | R Documentation |
Provides coefficient of determination for linear models, using covariance/correlation matrix.
Description
Uses R^2 (coefficient of determination).
See lmWithCov.
Usage
da.lmWithCov.fit(base.cov, ...)
Arguments
base.cov |
variance/covariance matrix |
... |
ignored |
Value
A function described by using-fit-indices description for interface.
You could retrieve r2 index.
See Also
Other fit indices:
da.betareg.fit(),
da.clm.fit(),
da.dynlm.fit(),
da.glm.fit(),
da.lm.fit(),
da.lmerMod.fit(),
da.mlmWithCov.fit()
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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