ICC_ranef: A function to extimate the ICC (intra-class correlation)
In EricMenetre/NPL: An incomplete toolkit for the researcher in NeuroPsychoLinguistic
Description
This function allows, for a given lmer model, to estimate by how much a random effect explains the total variance of the model. Moreover, if the ICC is high, the difference inside the element of the class are important (large differences among the subjects for example). And if the ICC is small, it implies a coherence inside the class.
Usage
1
ICC_ranef(model)
Arguments
model
A lmer or glmer model from the lme4 package
EricMenetre/NPL documentation built on June 23, 2021, 2:10 p.m.
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Description
This function allows, for a given lmer model, to estimate by how much a random effect explains the total variance of the model. Moreover, if the ICC is high, the difference inside the element of the class are important (large differences among the subjects for example). And if the ICC is small, it implies a coherence inside the class.
Usage
1 | ICC_ranef(model)
|
Arguments
model |
A lmer or glmer model from the lme4 package |
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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