- DESCRIPTION file.
- Code demos. Use demo() to run them.

ardipper | Accept-reject algorithm for the open population capture-recapture model |

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 |

bank | bank dataset (Chapter 4) |

BayesReg | Bayesian linear regression output |

caterpillar | Pine processionary caterpillar dataset |

datha | Non-standardised Licence dataset |

Dnadataset | DNA sequence of an HIV genome |

eurodip | European Dipper dataset |

Eurostoxx50 | Eurostoxx50 exerpt 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 |

Laichedata | Laiche dataset |

likej | Estimation of a hidden Markov model with 2 hidden and 4 observed states |

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 |

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 |

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 |