View source: R/plot_moderators.R
table_moderator_c_bin | R Documentation |
Use a regression tree to optimally bin a continuous variable, this function will print out a table with estimates and 95
table_moderator_c_bin(.model, moderator, .name = "bin")
.model |
a model produced by 'bartCause::bartc()' |
moderator |
the moderator as a vector |
.name |
sting representing the name of the moderating variable |
a data.frame object
George Perrett
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'
)
table_moderator_c_bin(model_results, lalonde$age, .name = 'age')
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