ARllog                  log-likelihood associated with an AR(p) model
                        defined either through its natural coefficients
                        or through the roots of the associated
                        lag-polynomial
ARmh                    Metropolis-Hastings evaluation of the posterior
                        associated with an AR(p) model
BayesReg                Bayesian linear regression output
Dnadataset              DNA sequence of an HIV genome
Eurostoxx50             Eurostoxx50 exerpt dataset
Laichedata              Laiche dataset
MAllog                  log-likelihood associated with an MA(p) model
MAmh                    Metropolis-Hastings evaluation of the posterior
                        associated with an MA(p) model
Menteith                Grey-level image of the Lake of Menteith
ModChoBayesReg          Bayesian model choice procedure for the linear
                        model
ardipper                Accept-reject algorithm for the open population
                        capture-recapture model
bank                    bank dataset (Chapter 4)
caterpillar             Pine processionary caterpillar dataset
datha                   Non-standardised Licence dataset
eurodip                 European Dipper dataset
gibbs                   Gibbs sampler and Chib's evidence approximation
                        for a generic univariate mixture of normal
                        distributions
gibbscap1               Gibbs sampler for the two-stage open population
                        capture-recapture model
gibbscap2               Gibbs sampling for the Arnason-Schwarz
                        capture-recapture model
gibbsmean               Gibbs sampler on a mixture posterior
                        distribution with unknown means
gibbsnorm               Gibbs sampler for a generic mixture posterior
                        distribution
hmflatlogit             Metropolis-Hastings for the logit model under a
                        flat prior
hmflatloglin            Metropolis-Hastings for the log-linear model
                        under a flat prior
hmflatprobit            Metropolis-Hastings for the probit model under
                        a flat prior
hmhmm                   Estimation of a hidden Markov model with 2
                        hidden and 4 observed states
hmmeantemp              Metropolis-Hastings with tempering steps for
                        the mean mixture posterior model
hmnoinflogit            Metropolis-Hastings for the logit model under a
                        noninformative prior
hmnoinfloglin           Metropolis-Hastings for the log-linear model
                        under a noninformative prior
hmnoinfprobit           Metropolis-Hastings for the probit model under
                        a noninformative prior
isinghm                 Metropolis-Hastings for the Ising model
isingibbs               Gibbs sampler for the Ising model
logitll                 Log-likelihood of the logit model
logitnoinflpost         Log of the posterior distribution for the
                        probit model under a noninformative prior
loglinll                Log of the likelihood of the log-linear model
loglinnoinflpost        Log of the posterior density for the log-linear
                        model under a noninformative prior
normaldata              Normal dataset
pbino                   Posterior expectation for the binomial
                        capture-recapture model
pcapture                Posterior probabilities for the multiple stage
                        capture-recapture model
pdarroch                Posterior probabilities for the Darroch model
plotmix                 Graphical representation of a normal mixture
                        log-likelihood
pottsgibbs              Gibbs sampler for the Potts model
pottshm                 Metropolis-Hastings sampler for a Potts model
                        with 'ncol' classes
probet                  Coverage of the interval (a,b) by the Beta cdf
probitll                Log-likelihood of the probit model
probitnoinflpost        Log of the posterior density for the probit
                        model under a non-informative model
rdirichlet              Random generator for the Dirichlet distribution
reconstruct             Image reconstruction for the Potts model with
                        six classes
solbeta                 Recursive resolution of beta prior calibration
sumising                Approximation by path sampling of the
                        normalising constant for the Ising model
thresh                  Bound for the accept-reject algorithm in
                        Chapter 5
truncnorm               Random simulator for the truncated normal
                        distribution
xneig4                  Number of neighbours with the same colour
