estimate_ICA_ContCont {Surrogate} | R Documentation |
Estimate ICA in Ordinal-Ordinal Setting
Description
estimate_ICA_ContCont()
estimates the individual causal association (ICA) for
a sample of individual causal treatment effects with a continuous surrogate and
true endpoint. The ICA in this setting is defined as the squared informational
coefficient of correlation, which is a transformation of the mutual information.
The mutual information is estimated with fnn::mutinfo()
.
Usage
estimate_ICA_ContCont(delta_S, delta_T)
Arguments
delta_S |
(numeric) Vector of individual causal treatment effects on the surrogate. |
delta_T |
(numeric) Vector of individual causal treatment effects on the true endpoint. |
Value
(numeric) Estimated ICA
[Package Surrogate version 3.4.1 Index]