Error bar plots for causal treatment effects

Error bar plots for causal treatment effects

Usage

plot_est_box(input, ...)

Arguments

input

A data frame or model object containing 'bootdata', which include 'effect_comparator', 'effect_reference', and 'RD' columns.

...

Additional arguments passed to the plotting function.

Value

An error bar plot of the mean effects and their 95% confidence intervals for comparator level, reference level, and ATE.

Examples

testdata <- read.csv(system.file("extdata",
                                 "continuous_outcome_data.csv",
                                 package = "bayesmsm"))
model <- bayesmsm(ymodel = y ~ a_1+a_2,
                           nvisit = 2,
                           reference = c(rep(0,2)),
                           comparator = c(rep(1,2)),
                           treatment_effect_type = "sq",
                           family = "gaussian",
                           data = testdata,
                           wmean = rep(1, 1000),
                           nboot = 100,
                           optim_method = "BFGS",
                           parallel = FALSE,
                           ncore = 2)
plot_est_box(model)