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diversitree (version 0.6-2)

make.prior: Simple Prior Functions

Description

Functions for generating prior functions for use with mcmc, etc.

Usage

make.prior.exponential(r)

Arguments

r
Scalar or vector of rate parameters

Details

The prior probability distribution has probability density $$\sum_i r_i e^{-r_i x_i}$$ where the $i$ denotes the $i$th parameter. If r is a scalar, then the same rate is used for all parameters.

This function returns a function that may be used as the prior argument to the likelihood functions returned elsewhere.