log_marg_likel {bayesmove}  R Documentation 
Internal function that calculates the log marginal likelihood of each model being compared
Description
An internal function that is used to calculate the log marginal likelihood of
models for the current and proposed sets of breakpoints. Called within
samp_move
.
Usage
log_marg_likel(alpha, summary.stats, nbins, ndata.types)
Arguments
alpha 
numeric. A single value used to specify the hyperparameter for
the prior distribution. A standard value for 
summary.stats 
A matrix of sufficient statistics returned from

nbins 
numeric. A vector of the number of bins used to discretize each movement variable. 
ndata.types 
numeric. The length of 
Value
The log marginal likelihood is calculated for a model with a given set of breakpoints and the discretized data.
[Package bayesmove version 0.2.1 Index]