make.prior: Simple Prior Functions

In diversitree: Comparative 'Phylogenetic' Analyses of Diversification

Simple Prior Functions

Description

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

Usage

make.prior.exponential(r)
make.prior.uniform(lower, upper, log=TRUE)

Arguments

r	Scalar or vector of rate parameters
lower	Lower bound of the parameter
upper	Upper bound of the parameter
log	Logical: should the prior be on a log basis?

Details

The exponential prior probability distribution has probability density

\sum_i r_i e^{-r_i x_i}

where the i denotes the ith parameter. If r is a scalar, then the same rate is used for all parameters.

These functions each return a function that may be used as the prior argument to mcmc().

Author(s)

Richard G. FitzJohn

diversitree documentation built on Oct. 2, 2024, 9:13 a.m.