View source: R/ICA_SurvSurv_copula.R
estimate_mutual_information_SurvSurv | R Documentation |
estimate_mutual_information_SurvSurv()
estimates the mutual information for
a sample of individual causal treatment effects with a time-to-event
surrogate and a time-to-event true endpoint. The mutual information is
estimated by first estimating the bivariate density and then computing the
mutual information for the estimated density.
estimate_mutual_information_SurvSurv(delta_S, delta_T, minfo_prec)
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. |
minfo_prec |
Number of quasi Monte-Carlo samples for the numerical
integration to obtain the mutual information. If this value is 0 (default),
the mutual information is not computed and |
(numeric) estimated mutual information.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.