bayess: Bayesian Essentials with R
Version 1.4

bayess contains a collection of functions that allows the reenactment of the R programs used in the book "Bayesian Essentials with R" (revision of "Bayesian Core") without further programming. R code being available as well, they can be modified by the user to conduct one's own simulations.

Browse man pages Browse package API and functions Browse package files

AuthorChristian P. Robert, Universite Paris Dauphine, and Jean-Michel Marin, Universite Montpellier 2
Date of publication2013-02-09 22:07:40
MaintainerChristian P. Robert <xian@ceremade.dauphine.fr>
LicenseGPL-2
Version1.4
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("bayess")

Man pages

ardipper: Accept-reject algorithm for the open population...
ARllog: log-likelihood associated with an AR(p) model defined either...
ARmh: Metropolis-Hastings evaluation of the posterior associated...
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...
gibbs2: Gibbs sampler for the two-stage open population...
gibbs3: Gibbs sampling for the Arnason-Schwarz capture-recapture...
gibbsmean: Gibbs sampler on a mixture posterior distribution with...
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...
hmflatprobit: Metropolis-Hastings for the probit model under a flat prior
hmhmm: Estimation of a hidden Markov model with 2 hidden and 4...
hmmeantemp: Metropolis-Hastings with tempering steps for the mean mixture...
hmnoinflogit: Metropolis-Hastings for the logit model under a...
hmnoinfloglin: Metropolis-Hastings for the log-linear model under a...
hmnoinfprobit: Metropolis-Hastings for the probit model under a...
isinghm: Metropolis-Hastings for the Ising model
isingibbs: Gibbs sampler for the Ising model
Laiche: Laiche dataset
logitll: Log-likelihood of the logit model
logitnoinflpost: Log of the posterior distribution for the probit model under...
loglinll: Log of the likelihood of the log-linear model
loglinnoinflpost: Log of the posterior density for the log-linear model under a...
MAllog: log-likelihood associated with an MA(p) model
MAmh: Metropolis-Hastings evaluation of the posterior associated...
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...
pcapture: Posterior probabilities for the multiple stage...
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'...
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...
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...
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

Functions

ARllog Man page Source code
ARmh Man page Source code
BayesReg Man page Source code
Dnadataset Man page
Eurostoxx50 Man page
Laichedata Man page
MAllog Man page Source code
MAmh Man page Source code
Menteith Man page
ModChoBayesReg Man page Source code
ardipper Man page Source code
bank Man page
caterpillar Man page
datha Man page
eurodip Man page
gibbs Man page Source code
gibbscap1 Man page Source code
gibbscap2 Man page Source code
gibbsmean Man page Source code
gibbsnorm Man page Source code
hmflatlogit Man page Source code
hmflatloglin Man page Source code
hmflatprobit Man page Source code
hmhmm Man page Source code
hmmeantemp Man page Source code
hmnoinflogit Man page Source code
hmnoinfloglin Man page Source code
hmnoinfprobit Man page Source code
isinghm Man page Source code
isingibbs Man page Source code
likej Man page
logitll Man page Source code
logitnoinflpost Man page Source code
loglinll Man page Source code
loglinnoinflpost Man page Source code
normaldata Man page
pbino Man page Source code
pcapture Man page Source code
pdarroch Man page Source code
plotmix Man page Source code
pottsgibbs Man page Source code
pottshm Man page Source code
probet Man page Source code
probitll Man page Source code
probitnoinflpost Man page Source code
rdirichlet Man page Source code
reconstruct Man page Source code
solbeta Man page Source code
sumising Man page Source code
thresh Man page Source code
truncnorm Man page Source code
xneig4 Man page Source code

Files

MD5
demo
demo/Chapter.7.R
demo/Chapter.4.R
demo/Chapter.3.R
demo/Chapter.2.R
demo/Chapter.6.R
demo/Chapter.8.R
demo/Chapter.1.R
demo/00Index
demo/Chapter.5.R
NAMESPACE
data
data/bank.txt.gz
data/Eurostoxx50.txt.gz
data/normaldata.txt.gz
data/datha.txt.gz
data/Menteith.txt.gz
data/eurodip.txt.gz
data/Laichedata.txt.gz
data/Dnadataset.txt.gz
data/caterpillar.txt.gz
DESCRIPTION
man
man/hmflatlogit.Rd
man/hmnoinfprobit.Rd
man/logitnoinflpost.Rd
man/hmflatprobit.Rd
man/gibbs2.Rd
man/reconstruct.Rd
man/rdirichlet.Rd
man/sumising.Rd
man/Dnadataset.Rd
man/caterpillar.Rd
man/probitnoinflpost.Rd
man/pottsgibbs.Rd
man/hmnoinflogit.Rd
man/bank.Rd
man/thresh.Rd
man/isinghm.Rd
man/probet.Rd
man/hmmeantemp.Rd
man/gibbsnorm.Rd
man/plotmix.Rd
man/Eurostoxx50.Rd
man/Laiche.Rd
man/normaldata.Rd
man/isingibbs.Rd
man/solbeta.Rd
man/datha.Rd
man/loglinnoinflpost.Rd
man/truncnorm.Rd
man/probitll.Rd
man/pbino.Rd
man/hmhmm.Rd
man/hmnoinfloglin.Rd
man/gibbs.Rd
man/ModChoBayesReg.Rd
man/pottshm.Rd
man/ardipper.Rd
man/ARllog.Rd
man/loglinll.Rd
man/gibbs3.Rd
man/hmflatloglin.Rd
man/logitll.Rd
man/eurodip.Rd
man/pdarroch.Rd
man/pcapture.Rd
man/MAllog.Rd
man/Menteith.Rd
man/xneig4.Rd
man/BayesReg.Rd
man/gibbsmean.Rd
man/ARmh.Rd
man/MAmh.Rd
R
R/sumising.R
R/pbino.R
R/ARllog.R
R/loglinnoinflpost.R
R/BayesReg.R
R/pottsgibbs.R
R/truncnorm.R
R/hmnoinfloglin.R
R/gibbsmean.R
R/logitnoinflpost.R
R/MAmh.R
R/ModChoBayesReg.R
R/gibbscap1.R
R/probitll.R
R/thresh.R
R/logitll.R
R/gibbs.R
R/hmflatprobit.R
R/gibbsnorm.R
R/probitnoinflpost.R
R/MAllog.R
R/hmhmm.R
R/rdirichlet.R
R/pcapture.R
R/hmflatloglin.R
R/reconstruct.R
R/plotmix.R
R/ARmh.R
R/isinghm.R
R/solbeta.R
R/hmnoinfprobit.R
R/pottshm.R
R/ardipper.R
R/probet.R
R/pdarroch.R
R/hmmeantemp.R
R/hmflatlogit.R
R/hmnoinflogit.R
R/gibbscap2.R
R/xneig4.R
R/isingibbs.R
R/loglinll.R
bayess documentation built on May 19, 2017, 8:29 p.m.