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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 |