| make.prior {diversitree} | R Documentation |
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
[Package diversitree version 0.10-0 Index]