Bolstad Functions

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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