posterior1: Posterior function

In jameshay218/mcmcJH: Generic random walk MCMC algorithm for parameter inference

Description

Combines the likelihood and priors to produce a likelihood value for the given parameters against he provided data. This is used as the overall cost function for the MCMC algorithm.

Usage

posterior1(params, param_transform_table, param_table, data,
  LIKELIHOOD_FUNCTION, MODEL_FUNCTION)

Arguments

params	a vector of parameters to be explored
param_transform_table	a matrix of flags and bounds as required by proposalfunction for the random walk proposal, for use in the likelihood function
param_table	a data table as imported by load_param_table to be used by the prior wrapper function in finding the correct prior function and arguments
data	the data of interest
LIKELIHOOD_FUNCTION	a valid pointer to an R function which returns a single, log likelihood of the data given the current parameters
MODEL_FUNCTION	a valid pointer to an R function which is used to evaluate the model for the current set of parameters

Value

a single value for the posterior (by Bayes rule)

See Also

prior

jameshay218/mcmcJH documentation built on May 18, 2019, 11:20 a.m.