Description Usage Arguments Value
This function computes the likelihood WITHOUT integrating over the distribution of component specific parameter (e.g., machine usage profiles). This function conditions upon a few model parameters: the true and false positive rates (theta and psi), the Q matrix and p-the prevalence parameter for each machines.
1 | log_full(Y, eta_star, Q, p, theta, psi)
|
Y |
the data for the current cluster (a subset of observations.) |
eta_star |
A matrix of M columns (of machines). Multivariate binary indicators of presence or absence of protein landmarks (could be a matrix with rows for multiple ) |
Q |
Q-matrix |
p |
prevalence parameter for each machine; should be a vector of dimension M. |
theta |
true positive rates |
psi |
true positive rates |
a vector of likelihood values (one per cluster) given other model parameters.
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