plot_estimates: Visualize Estimates of Treatment Effects

In CopSens: Copula-Based Sensitivity Analysis for Observational Causal Inference

Visualize Estimates of Treatment Effects

Description

Visualize Estimates of Treatment Effects

Usage

plot_estimates(est, show_rv = TRUE, order = "naive", labels = NULL, ...)

Arguments

est	an return object from gcalibrate or bcalibrate, or data.frame containing estimates of treatment effects with estimates' type in columns and contrasts of interest in rows.
show_rv	logical. Whether robustness values should be printed in the plot or not? Available only for the "worstcase" calibration.
order	character. The type of order used to plot treatment effects from left to right. Can be one of the following: "naive" - order by the naive estimate from smallest to largest. "worstcase" - place all treatments with negative robust effects on the left, with positive robust effects on the right, and all sensitive ones in the middle. Within the negative robust group, order treatments by the upper bound of the worst-case ignorance region from smallest to largest; within the positive robust group, order treatments by the lower bound of the worst-case ignorance region from smallest to largest; and within the sensitive group, order by the naive estimate from smallest to largest.
labels	character. Labels of treatments.
...	further arguments passed to theme

Value

A graph plotting ignorance regions of the causal estimands of interest.

Note

For examples, please refer to bcalibrate or gcalibrate

CopSens documentation built on May 12, 2022, 9:06 a.m.