Functions for Learning Bayesian Inference

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Documentation for package `LearnBayes' version 1.0

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bayes.influence Observation sensitivity analysis in beta-binomial model
bayes.probit Simulates from a probit binary response regression model using data augmentation and Gibbs sampling
bayesresiduals Computation of posterior residual outlying probabilities for a linear regression model
bermuda.grass Bermuda grass experiment data
betabinexch Log posterior of logit mean and log precision for Binomial/beta exchangeable model
betabinexch0 Log posterior of mean and precision for Binomial/beta exchangeable model
bfexch Logarithm of integral of Bayes factor for testing homogeneity of proportions
bfindep Bayes factor against independence assuming alternatives close to independence
birdextinct Bird measurements from British islands
birthweight Birthweight regression study
blinreg Simulation from Bayesian linear regression model
blinregexpected Simulates values of expected response for linear regression model
blinregpred Simulates values of predicted response for linear regression model
bprobit.probs Simulates fitted probabilities for a probit regression model
breastcancer Survival experience of women with breast cancer under treatment
cancermortality Cancer mortality data
careertraj.setup Setup for Career Trajectory Application
cauchyerrorpost Log posterior of median and log scale parameters for Cauchy sampling
chemotherapy Chemotherapy treatment effects on ovarian cancer
ctable Bayes factor against independence using uniform priors
darwin Darwin's data on plants
discint Highest probability interval for a discrete distribution
dmnorm The probability density function for the multivariate normal (Gaussian) probability distribution
dmt Probability density function for multivariate t
donner Donner survival study
election Florida election data
footballscores Game outcomes and point spreads for American football
gibbs Metropolis within Gibbs sampling algorithm of a posterior distribution
groupeddatapost Log posterior of normal parameters when data is in grouped form
hearttransplants Heart transplant mortality data
hiergibbs Gibbs sampling for a hierarchical regression model
histprior Density function of a histogram distribution
howardprior Logarithm of Howard's dependent prior for two proportions
impsampling Importance sampling using a t proposal density
indepmetrop Independence Metropolis independence chain of a posterior distribution
iowagpa Admissions data for an university
jeter2004 Hitting data for Derek Jeter
laplace Summarization of a posterior density by the Laplace method
lbinorm Logarithm of bivariate normal density
logctablepost Log posterior of difference and sum of logits in a 2x2 table
logisticpost Log posterior for a binary response model with a logistic link and a uniform prior
logpoissgamma Log posterior with Poisson sampling and gamma prior
logpoissnormal Log posterior with Poisson sampling and normal prior
marathontimes Marathon running times
mnormt.onesided Bayesian test of one-sided hypothesis about a normal mean
mnormt.twosided Bayesian test of a two-sided hypothesis about a normal mean
mycontour Contour plot of a bivariate density function
normchi2post Log posterior density for mean and variance for normal sampling
ordergibbs Gibbs sampling for a hierarchical regression model
pbetap Predictive distribution for a binomial sample with a beta prior
pbetat Bayesian test of a proportion
pdisc Posterior distribution for a proportion with discrete priors
pdiscp Predictive distribution for a binomial sample with a discrete prior
poissgamexch Log posterior of Poisson/gamma exchangeable model
rdirichlet Random draws from a Dirichlet distribution
regroup Collapses a matrix by summing over rows
rejectsampling Rejecting sampling using a t proposal density
rmnorm Random number generation for multivariate normal
rmt Random number generation for multivariate t
robustt Gibbs sampling for a robust regression model
rwmetrop Random walk Metropolis algorithm of a posterior distribution
schmidt Batting data for Mike Schmidt
simcontour Simulated draws from a bivariate density function on a grid
sir Sampling importance resampling
sluggerdata Hitting statistics for ten great baseball players
soccergoals Goals scored by professional soccer team
stanfordheart Data from Stanford Heart Transplanation Program
strikeout Baseball strikeout data
studentdata Student dataset
transplantpost Log posterior of a Pareto model for survival data
weibullregpost Log posterior of a Weibull proportional odds model for survival data