Description Usage Arguments Details Examples
Calibrate the magnitude of sensitivity parameters to the amount of variation in the treatment
assignment T
that is explained by outcome Y(t)
, above and beyond what is accounted
for by observed pre-treatment variables X
.
1 | caliplot(x, trt, y, gamma_seq)
|
x |
a |
trt |
a vector with binary treatment indicators |
y |
a vector with outcomes |
gamma_seq |
a vector with chosen values for sensitivity parameter γ_t |
caliplot
returns a plot of sensitivity parameter γ_t vs partial coefficient of
variation from outcome Y
, ρ^2_{Y|X}. For comparison, the largest four partial coefficients
of variation from covariates are also plotted if the number of observed covariates is larger or equal to four;
otherwise, all the partial coefficients of variation from covariates are plotted.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.