fc.predict: Prediction based on FC

In senhu/FCBMA: Factor collapsing with Bayesian model averaging for regression models

Description

Prediction based on the fitted model given the collpase/partition that selected by running the stochastic search

Usage

fc.predict(data, model, varia.list, merge.list)

## S3 method for class 'glm'
fc.predict(data, model, varia.list, merge.list)

## S3 method for class 'rxGlm'
fc.predict(data, model, varia.list, merge.list)

Arguments

data	new dataset, such as testing data
model	model, such as training model including interactions
varia.list	variables to be collapsed
merge.list	graycodes

Value

prediction

Examples

m1 <- glm(Claims ~ Kilometres+Zone+Bonus+Make, offset = log(Insured),
          data = sweden, family = "poisson")
a <- fc.predict(data=sweden,
                model = m1,
                varia.list = c("Kilometres", "Zone", "Bonus", "Make"),
                merge.list = list(c(1,2,3,4,4),
                                  c(1,2,3,4,5,5,5),
                                  c(1,1,1,2,3,4,5),
                                  c(1,2,3,4,5,6,7,7,7)) )
b <- predict.glm(m1, type='response')
plot(cbind(a,b))

senhu/FCBMA documentation built on Aug. 6, 2019, 4:56 p.m.