compute_likelihood: Compute likelihood for each additional simulation across...

In OxfordRSE/trachomAMIS: What the Package Does (One Line, Title Case)

Compute likelihood for each additional simulation across timepoints

Description

Calls evaluate likelihood for each timepoint.

Usage

compute_likelihood(
  prevalence_map,
  simulated_prevalences,
  amis_params,
  likelihoods = NULL
)

Arguments

prevalence_map	A list with one entry for each timepoint. Each entry must be a list containing objects data (an L x M matrix of data); and likelihood a function taking arguments data (a matrix of data as above), prevalence (a matrix of output from the transmission model) and optional logical log, which returns the vector of (log)-likelihoods. If a likelihood is not specified then it is assumed that the data consist of samples from a geo-statistical model and empirical methods are used.
amis_params	A list of parameters, e.g. from default_amis_params.
likelihoods	An array with dimension n_tims,n_locs,n_sims – ie timepoints x locations x simulations (optional).
An	n x timepoints matrix of prevalences simulated from the transmission model.

Value

A larger array with the likelihoods of the new simulations joined to the existing array likelihoods.

OxfordRSE/trachomAMIS documentation built on Aug. 1, 2022, 10:21 p.m.