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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