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 |