Description Usage Arguments Value Examples
Bernoulli likelihood: x = 0, 1; f(x,theta) = (theta^x)*(1-theta)^(1-x) Bernoulli log-likelihood: $$ ln(L) = sum_i=1^I sum_t=1^T D_i^C(t) * ln(P_i^C (t)) + (1 - D_i^C(t)) * ln(1 - P_i^C (t)) $$
1 | compute_log_lik(prediction, actual)
|
prediction |
Numeric vector same length as actual |
actual |
Numeric vector same length as prediction |
Numeric vector length one
1 |
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