resi.waldtest: Robust effect size add-on for Wald tests and anova
In simonvandekar/RESI: Robust Effect Size Index (RESI) Estimation
Description
Usage
Arguments
Value
Description
Effect size summary that can compliment your summary output. All conversions are based on the robust effect size index estimator. Object handling is handled by the 'lmtest' package.
Usage
1
resi.waldtest(object, ..., vcov. = sandwich::vcovHC)
Arguments
object
The model object.
...
Arguments passed to waldtest
vcov.
The variance covariance matrix to use. Defaults to one of the heteroskedasticity consistent estimator. Note that this differs from the default in lmtest.
Value
Returns an anova-like test and the robust effect size index for comparing two or more models.
simonvandekar/RESI documentation built on Jan. 22, 2021, 2:40 a.m.
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Description Usage Arguments Value
Description
Effect size summary that can compliment your summary output. All conversions are based on the robust effect size index estimator. Object handling is handled by the 'lmtest' package.
Usage
1 | resi.waldtest(object, ..., vcov. = sandwich::vcovHC)
|
Arguments
object |
The model object. |
... |
Arguments passed to waldtest |
vcov. |
The variance covariance matrix to use. Defaults to one of the heteroskedasticity consistent estimator. Note that this differs from the default in lmtest. |
Value
Returns an anova-like test and the robust effect size index for comparing two or more models.
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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