MarkovPrior

A matrix of the same dimension as the
    transition probability matrix being modeled.  Entry (i, j) represents
    the "prior count" of transitions from state <code>i</code> to state <code>j</code>.

prior.transition.counts

A vector of positive numbers
    representing prior counts of initial states.

prior.initial.state.counts

If both prior.transition.counts and
    prior.initial.state.counts are missing, then they will be filled
    with an object of dimension state.space.size where all entries are
    set to <code>uniform.prior.value</code>.

state.space.size

The default value to use for entries of
    <code>prior.transition.counts</code> and
    <code>prior.initial.state.counts</code>, when they are not supplied by the
    user.

uniform.prior.value

The conjugate prior distribution for the parameters of a
  homogeneous Markov chain.  The rows in the transition probability
  matrix modeled with independent Dirichlet priors.  The distribution of
  the initial state is modeled with its own independent Dirichlet
  prior.

markov.prior

A C++ library for Bayesian modeling, with an emphasis on
Markov chain Monte Carlo.  Although boom contains a few R utilities
(mainly plotting functions), its primary purpose is to install the
BOOM C++ library on your system so that other packages can link
against it.

markov.prior: Prior for a Markov chain

Description

Usage

Arguments

References