effectTypes {gamselBayes}

Tabulate the estimated effect types from a Bayesian generalized additive model object

Description

Produces a tabular summary of the estimated effect types from a gamselBayes() fit object.

Usage

effectTypes(fitObject)

Arguments

fitObject

gamselBayes() fit object.

Details

Two tables are printed to standard output. The first table lists the names of the predictors that are estimated as having a linear effect. The second table lists the names of the predictors that are estimated as having a nonlinear effect.

Value

Nothing is returned.

Author(s)

Virginia X. He [e-mail] and Matt P. Wand [e-mail]

Examples

library(gamselBayes) 

# Generate some simple regression-type data:

set.seed(1) ; n <- 1000 ; x1 <- rbinom(n,1,0.5) 
x2 <- runif(n) ; x3 <- runif(n) ; x4 <- runif(n)
y <- x1 + sin(2*pi*x2) - x3 + rnorm(n)
Xlinear <- data.frame(x1) ; Xgeneral <- data.frame(x2,x3,x4)

# Obtain a gamselBayes() fit for the data:

fit <- gamselBayes(y,Xlinear,Xgeneral)

# Tabulate the estimated effect types:

effectTypes(fit)