| conditional_mean {OptimalGoldstandardDesigns} | R Documentation | 
Calculate the conditional mean of a multivariate normal distribution
Description
See e.g. Chapter 8.1.2 in The Matrix Cookbook.
Usage
conditional_mean(x_a, mu_a, mu_b, Sigma)
Arguments
x_a | 
 (Observed) first part of normally distributed vector.  | 
mu_a | 
 Mean of second part of normally distributed vector.  | 
mu_b | 
 Mean of first part of normally distributed vector.  | 
Sigma | 
 covariance matrix of test statistic vector c(Z_TP1, Z_TP2, Z_TC1, Z_TC2).  | 
Value
numeric vector with the conditional mean
References
Petersen, K. B., & Pedersen, M. S. (2008). The matrix cookbook. Technical University of Denmark, 7(15), 510.
[Package OptimalGoldstandardDesigns version 1.0.1 Index]