is_mixed_model: Checks if a model is a mixed effects model
In insight: Easy Access to Model Information for Various Model Objects
View source: R/is_mixed_model.R
is_mixed_model R Documentation
Checks if a model is a mixed effects model
Description
Small helper that checks if a model is a mixed effects model,
i.e. if it the model has random effects.
Usage
is_mixed_model(x)
Arguments
x
A model object.
Value
A logical, TRUE if x is a mixed model.
Examples
data(mtcars)
model <- lm(mpg ~ wt + cyl + vs, data = mtcars)
is_mixed_model(model)
data(sleepstudy, package = "lme4")
model <- lme4::lmer(Reaction ~ Days + (1 | Subject), data = sleepstudy)
is_mixed_model(model)
insight documentation built on Nov. 26, 2023, 5:08 p.m.
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View source: R/is_mixed_model.R
| is_mixed_model | R Documentation |
Checks if a model is a mixed effects model
Description
Small helper that checks if a model is a mixed effects model, i.e. if it the model has random effects.
Usage
is_mixed_model(x)
Arguments
x |
A model object. |
Value
A logical, TRUE if x is a mixed model.
Examples
data(mtcars)
model <- lm(mpg ~ wt + cyl + vs, data = mtcars)
is_mixed_model(model)
data(sleepstudy, package = "lme4")
model <- lme4::lmer(Reaction ~ Days + (1 | Subject), data = sleepstudy)
is_mixed_model(model)
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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