lmer_cohenD: Find Cohen's D for lmer model
In akcochrane/ACmisc: Aaron Cochrane's miscellaneous functions
lmer_cohenD R Documentation
Find Cohen's D for lmer model
Description
Calculate a heuristic Cohen's D for each fixed effect in an lmer model.
Uses a fairly naive calculation: abs(b)/(SE*sqrt(df)), where df is approximated
using a Kenward-Rogers approximation (package pbkrtest via lmSupport::modelSummary).
Returns the lmSupport::modelSummary output with the addition of $cohen_d.
Usage
lmer_cohenD(lmerMod)
Arguments
lmerMod
Model fit by lme4::lmer()
Details
As with (& because of the underlying K-R approximation in) lmSupport::modelSummary,
this can take a very long time for large or complex models.
akcochrane/ACmisc documentation built on Nov. 24, 2024, 11:22 a.m.
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| lmer_cohenD | R Documentation |
Find Cohen's D for lmer model
Description
Calculate a heuristic Cohen's D for each fixed effect in an lmer model.
Uses a fairly naive calculation: abs(b)/(SE*sqrt(df)), where df is approximated
using a Kenward-Rogers approximation (package pbkrtest via lmSupport::modelSummary).
Returns the lmSupport::modelSummary output with the addition of $cohen_d.
Usage
lmer_cohenD(lmerMod)
Arguments
lmerMod |
Model fit by |
Details
As with (& because of the underlying K-R approximation in) lmSupport::modelSummary,
this can take a very long time for large or complex 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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