Bolstad-package |
Bolstad Functions |
as.data.frame.Bolstad |
as.data.frame.Bolstad |
bayes.lin.reg |
Bayesian inference for simple linear regression |
bayes.lm |
Bayesian inference for multiple linear regression |
bayes.t.test |
Bayesian t-test |
bayes.t.test.default |
Bayesian t-test |
bayes.t.test.formula |
Bayesian t-test |
bears |
bears |
binobp |
Binomial sampling with a beta prior |
binodp |
Binomial sampling with a discrete prior |
binogcp |
Binomial sampling with a general continuous prior |
binomixp |
Binomial sampling with a beta mixture prior |
Bolstad |
Bolstad Functions |
Bolstad.control |
Control Bolstad functions |
cdf |
Cumulative distribution function generic |
cdf.Bolstad |
Cumulative distribution function generic |
createPrior |
Create prior generic |
createPrior.default |
Create prior default method |
decomp |
Plot the prior, likelihood, and posterior on the same plot. |
IQR |
Interquartile Range generic |
lines.Bolstad |
Lines method for Bolstad objects |
mean.Bolstad |
Calculate the posterior mean |
moisture.df |
Moisture data |
mvnmvnp |
Bayesian inference on a mutlivariate normal (MVN) mean with a multivariate normal (MVN) prior |
normdp |
Bayesian inference on a normal mean with a discrete prior |
normgcp |
Bayesian inference on a normal mean with a general continuous prior |
normmixp |
Bayesian inference on a normal mean with a mixture of normal priors |
normnp |
Bayesian inference on a normal mean with a normal prior |
nvaricp |
Bayesian inference for a normal standard deviation with a scaled inverse chi-squared distribution |
plot.Bolstad |
Plot method for objects of type Bolstad |
poisdp |
Poisson sampling with a discrete prior |
poisgamp |
Poisson sampling with a gamma prior |
poisgcp |
Poisson sampling with a general continuous prior |
print.Bolstad |
Print method for objects of class 'Bolstad' |
print.sscsamp |
Print method for objects of class 'sscsample' |
quantile.Bolstad |
Posterior quantiles |
sd |
Standard deviation generic |
sd.Bolstad |
Posterior standard deviation |
sintegral |
Numerical integration using Simpson's Rule |
slug |
Slug data |
sscsample |
Simple, Stratified and Cluster Sampling |
sscsample.data |
Data for simple random sampling, stratified sampling, and clusting sampling experiments |
summary.Bolstad |
Summarizing Bayesian Multiple Linear Regression |
var |
Variance generic |
xdesign |
Monte Carlo study of randomized and blocked designs |