bayes.lm {asbio} | R Documentation |

## Bayesian linear models with uniform priors

### Description

Gelman et al. (2002) describe general methods for Bayesian implementation of simple linear models (e.g. simple and multiple regression and fixed effect one way ANOVA) with standard non-informative priors uniform on `\alpha, \sigma^2`

. The function is not yet suited for multifactor or multivariance (random effect) ANOVAs.

### Usage

```
bayes.lm(Y, X, model = "anova", length = 1000, cred = 0.95)
```

### Arguments

`Y` |
An |

`X` |
The |

`model` |
One of |

`length` |
Number of draws for posterior. |

`cred` |
Level for credible interval. |

### Value

Provides the median and central credible intervals for model parameters.

### Author(s)

Ken Aho

### References

Gelman, A., Carlin, J. B., Stern, H. S., and D. B. Rubin (2003) *Bayesian Data Analysis, 2nd edition*. Chapman and Hall/CRC.

### See Also

### Examples

```
## Not run:
data(Fbird)
X <- with(Fbird, cbind(rep(1, 18), vol))
Y <- Fbird$freq
bayes.lm(Y, X, model = "reg")
## End(Not run)
```

*asbio*version 1.9-7 Index]