PriorDensity: Evaluate a prior distribution density over parameter values.

In venelin/PCMBayes: Bayesian inference for multivariate Phylogenetic Comparative Models

Description

Evaluate a prior distribution density over parameter values.

Usage

PriorDensity(prior, vecParams, log = TRUE, returnVector = TRUE...)

Arguments

prior	a Prior object.
vecParams	a numerical vector.
log	logical indicating if a log-prior should be returned (default: TRUE).
returnVector	logical indicating if a vector of length length(vecParams) should be returned. Default: TRUE.
...	additional arguments passed to methods.

Details

This is an S3 generic function. Call methods("PCMPriorDensity") to see implementing methods.

Value

The returned value depends on returnVector:

• If returnVector is TRUE (default) it should be a numeric vector of length equal to length(vecParams). If the prior distributions for the elements in vecParams, are independent, then each element in the returned vector corresponds to the (log-)prior density of the corresponding element in vecParams. Otherwise, the first element in the returned vector corresponds to the joint (log-)prior density and the other elements are set to 1 (if log=FALSE) or to 0 (if log=TRUE).

• If returnVector is FALSE, this should be a single real number corresponding to the joint prior (log-)density of the elements in vecParams.

venelin/PCMBayes documentation built on Dec. 23, 2019, 6:39 p.m.