Find interaction terms from models
Returns all lowest to highest order interaction terms from a model.
find_interactions(
x,
component = c("all", "conditional", "zi", "zero_inflated", "dispersion",
"instruments"),
flatten = FALSE
)x |
A fitted model. |
component |
Should all predictor variables, predictor variables for the conditional model, the zero-inflated part of the model, the dispersion term or the instrumental variables be returned? Applies to models with zero-inflated and/or dispersion formula, or to models with instrumental variable (so called fixed-effects regressions). May be abbreviated. Note that the conditional component is also called count or mean component, depending on the model. |
flatten |
Logical, if |
A list of character vectors that represent the interaction terms.
Depending on component, the returned list has following
elements (or NULL, if model has no interaction term):
conditional, interaction terms that belong to the "fixed
effects" terms from the model
zero_inflated, interaction terms that belong to the "fixed
effects" terms from the zero-inflation component of the model
instruments, for fixed-effects regressions like ivreg,
felm or plm, interaction terms that belong to the
instrumental variables
data(mtcars) m <- lm(mpg ~ wt + cyl + vs, data = mtcars) find_interactions(m) m <- lm(mpg ~ wt * cyl + vs * hp * gear + carb, data = mtcars) find_interactions(m)
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