dmvnb: Density Function for Multivariate Normal-Binary Distribution...

In gjabel/tsbridge: Calculate normalising constants for Bayesian time series models.

Description

This function is intended for internal use only. It calculates the density function of a mixed multivariate normal-binary distribution for use in the q1q2l.

Usage

dmvnb(bug, sims, MU, COV, P)

Arguments

bug	A BUGS model created in the tsbugs package.
sims	A data.frame of simulated parameter values with column names labelled according to output from the R2OpenBUGS package.
MU	A vector of the mean parameter values (over a simulated data set)
COV	A matrix of parameter variance-covariances (over a simulated data set)
P	A data.frame of model fits for each binary parameter, used in the simulation of equivalent parameters from a normalised density. Rows represent simulation number, and columns binary parameters.

Note

Function based on method suggested by Jon Forster.

Author(s)

Guy J. Abel and Jackie Wong Siaw Tze

gjabel/tsbridge documentation built on May 17, 2019, 6:02 a.m.