r.squared: R-squared and pseudo-rsquared for (generalized) linear...
In GabrielPigeon/gabtool: package with Gab's personnal function
Description
Usage
Arguments
Value
Description
This generic function calculates the r squared and pseudo r-squared for
a variety of(generalized) linear (mixed) model fits.
Currently implemented for lm, lmerTest::merMod,
and nlme::lme objects.
Implementing methods usually call rsquared.glmm
Usage
1
r.squared(mdl)
Arguments
mdl
a fitted (generalized) linear (mixed) model object
Value
Implementing methods usually return a dataframe with "Class",
"Family", "Marginal", "Conditional", and "AIC" columns
GabrielPigeon/gabtool documentation built on May 6, 2019, 5:32 p.m.
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Description Usage Arguments Value
Description
This generic function calculates the r squared and pseudo r-squared for
a variety of(generalized) linear (mixed) model fits.
Currently implemented for lm, lmerTest::merMod,
and nlme::lme objects.
Implementing methods usually call rsquared.glmm
Usage
1 | r.squared(mdl)
|
Arguments
mdl |
a fitted (generalized) linear (mixed) model object |
Value
Implementing methods usually return a dataframe with "Class", "Family", "Marginal", "Conditional", and "AIC" columns
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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