R: Bolstad Functions

# Bolstad Functions

## Documentation for package ‘Bolstad2’ version 1.0-29

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

## Help Pages

AidsSurvival.df | HIV Survival data
BayesCPH | Bayesian Cox Proportional Hazards Modelling
BayesLogistic | Bayesian Logistic Regression
BayesPois | Bayesian Pois Regression
bivnormMH | Metropolis Hastings sampling from a Bivariate Normal distribution
c10ex16.df | Chapter 10 Example 16 data
chd.df | Coronary Heart Disease Chapter 8 Example 11
credInt | Calculate a credible interval from a numerically specified posterior CDF or from a sample from the posterior
credIntNum | Calculate a credible interval from a numerically specified posterior CDF
credIntSamp | Calculate a credible interval from a numerically specified posterior CDF
describe | Give simple descriptive statistics for a matrix or a data frame
ex16.df | Chapter 10 Example 16 data
GelmanRubin | Calculate the Gelman Rubin statistic
GR | Calculate the Gelman Rubin statistic
hierMeanReg | Hierarchical Normal Means Regression Model
hiermeanRegTest.df | Test data for hiermeanReg
logisticTest.df | Test data for bayesLogistic
normGibbs | Draw a sample from a posterior distribution of data with an unknown mean and variance using Gibbs sampling
normMixMH | Sample from a normal mixture model using Metropolis-Hastings
pNull | Test a one sided hypothesis from a numerically specified posterior CDF or from a sample from the posterior
pnullNum | Test a one sided hypothesis from a numerically specified posterior CDF
pnullSamp | Test a one sided hypothesis using a sample from a posterior density
poissonTest.df | A test data set for bayesPois
sintegral | Numerical integration using Simpson's Rule
thin | Thin an MCMC sample