Bayesian Essentials with R


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Documentation for package ‘bayess’ version 1.4

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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