tl_interaction_effects: Calculate partial effects based on a model with interactions
In tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem
tl_interaction_effects R Documentation
Calculate partial effects based on a model with interactions
Description
Calculate partial effects based on a model with interactions
Usage
tl_interaction_effects(model, var, by_var, at_values = NULL, intervals = TRUE)
Arguments
model
A tidylearn model object
var
Variable to calculate effects for
by_var
Variable to calculate effects by (interaction variable)
at_values
Named list of values at which to hold other variables
intervals
Logical; whether to include confidence intervals
Value
A data frame with marginal effects
tidylearn documentation built on Feb. 6, 2026, 5:07 p.m.
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| tl_interaction_effects | R Documentation |
Calculate partial effects based on a model with interactions
Description
Calculate partial effects based on a model with interactions
Usage
tl_interaction_effects(model, var, by_var, at_values = NULL, intervals = TRUE)
Arguments
model |
A tidylearn model object |
var |
Variable to calculate effects for |
by_var |
Variable to calculate effects by (interaction variable) |
at_values |
Named list of values at which to hold other variables |
intervals |
Logical; whether to include confidence intervals |
Value
A data frame with marginal effects
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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