cross_anova_models: A function to help selecting the best model fitting according...
In EricMenetre/NPL: An incomplete toolkit for the researcher in NeuroPsychoLinguistic
Description
This function takes as input a list of models and returns a matrix containg all the models and showing the Chisquare difference between all models. The calculation is based on the anova() function, here simply performed for each model against each model
Usage
1
cross_anova_models(models)
Arguments
models
A list of lmer or glmer models under the form list(M1 = m1, M2 = m2, ..., Mn = mn). it is also possible to enter the data without names: c(m1, m2, m3) but this way of doing might be confusing when having many models.
EricMenetre/NPL documentation built on June 23, 2021, 2:10 p.m.
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Description
This function takes as input a list of models and returns a matrix containg all the models and showing the Chisquare difference between all models. The calculation is based on the anova() function, here simply performed for each model against each model
Usage
1 | cross_anova_models(models)
|
Arguments
models |
A list of lmer or glmer models under the form list(M1 = m1, M2 = m2, ..., Mn = mn). it is also possible to enter the data without names: c(m1, m2, m3) but this way of doing might be confusing when having many 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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