Bregbf: Bayesian regression model comparison with Bayes factors.

In evidence: Analysis of Scientific Evidence Using Bayesian and Likelihood Methods

Description

This function compares different linear models on the basis of their Bayes factors and by graphically comparing posterior model probabilities.

Usage

Bregbf(form.list, data, l=length(form.list))

Arguments

form.list	a list of linear models, each expressed by a model formula, that should be compared; the models must all be applicable to the same data frame and use the same response variable
data	a data frame to be analyzed
l	the number of models to be compared; defaults to all models in the form.list

Details

Note that a list containing several appropriate models for the data frame should be prepared beforehand. See the example for how to do this.

Value

A list with model parameter probabilities is silently returned.

Author(s)

Robert van Hulst

References

van Hulst, R. 2018. Evaluating Scientific Evidence. ms.

Examples

## Not run: 
data(PlantGrowth)
frmlst <- list(
model0 = formula(weight ~ 1),
model1 = formula(weight ~ group) )
Bregbf(form.list=frmlst, data=PlantGrowth)
data(fev)
frmlst.fev <- list(
formula(FEV ~ Age),
formula(FEV ~ Smoke),
formula(FEV ~ Age + Smoke),
formula(FEV ~ Age * Smoke)
)
Bregbf(frmlst.fev, fev)

## End(Not run)

evidence documentation built on May 2, 2019, 2:14 p.m.