find_interactions {insight} | R Documentation |
Find interaction terms from models
Description
Returns all lowest to highest order interaction terms from a model.
Usage
find_interactions(
x,
component = c("all", "conditional", "zi", "zero_inflated", "dispersion", "instruments"),
flatten = FALSE
)
Arguments
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 |
Value
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 likeivreg
,felm
orplm
, interaction terms that belong to the instrumental variables
Examples
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)