plot_moderator_d_linerange {plotBart} | R Documentation |
Plot the posterior interval of the Conditional Average Treatment Effect grouped by a discrete variable
Description
Plots the range of the Conditional Average Treatment Effect grouped by a discrete variable. This is analogous to plot_moderator_d_density but is preferable for moderators with many categories. Rather than plotting the full density, the posterior range is shown.
Usage
plot_moderator_d_linerange(.model, moderator, .alpha = 0.7, horizontal = FALSE)
Arguments
.model |
a model produced by 'bartCause::bartc()' |
moderator |
the moderator as a vector |
.alpha |
transparency value [0, 1] |
horizontal |
flip the plot horizontal? |
Value
ggplot object
Author(s)
George Perrett, Joseph Marlo
Examples
data(lalonde)
confounders <- c('age', 'educ', 'black', 'hisp', 'married', 'nodegr')
model_results <- bartCause::bartc(
response = lalonde[['re78']],
treatment = lalonde[['treat']],
confounders = as.matrix(lalonde[, confounders]),
estimand = 'ate',
commonSuprule = 'none'
)
plot_moderator_d_linerange(model_results, lalonde$educ)
[Package plotBart version 0.1.7 Index]