Estimates the marginal likelihood of the data using the samples

1 | ```
logp(N, samples, priors, iter, EQUIV)
``` |

`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) |

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