Estimates the marginal likelihood of the data using the samples
Usage
logp(N, samples, priors, iter, EQUIV)
Arguments
N
Matrix of count data; axis 0 is the number of time intervals per day and axis 1 is the number of days in the data.
samples
List of different samples at all time periods
priors
List with parameter values of prior distributions
iter
Number of iterations over which to calcuate likelihood.
EQUIV
Parameter sharing controls <- c(S1, S2): S1 <- force sharing of delta (day effect) among days, S2 <- force sharing of eta (time of day) among days, Values: 1 (all days share), 2 (weekdays/weekends), 3 (none)