logp

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Description

Estimates the marginal likelihood of the data using the samples

Usage

1
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)