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