Description Usage Arguments Value
Computes likelihood under causal factor model
1  | get_log_likelihood_cfm(y, s, u, lambda_12, lambda_21, rho, pi_vec)
 | 
y | 
 matrix n x 2 of observations  | 
s | 
 matrix n x 2 of std. errors  | 
u | 
 cube 2 x 2 x K of prior covariance matricies  | 
lambda_12 | 
 double effect of varialbe 2 on variable 1  | 
lambda_21 | 
 double effect of variable 1 on variable 2  | 
rho | 
 double correlation of estimated effects  | 
pi_vec | 
 vector vector of mixture proportions  | 
ll double likelihood under causal factor model
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