effectTypesVector: Obtain the estimated effect types from a Bayesian generalized...

In gamselBayes: Bayesian Generalized Additive Model Selection

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

Description

Extracts the vector of estimated effect types from a gamselBayes() fit object.

Usage

effectTypesVector(fitObject)

Arguments

fitObject

gamselBayes() fit object.

Details

The result is a vector of character strings having the same length as the total number of predictors inputted through Xlinear and Xgeneral. The character strings are one of "linear", "nonlinear" and "zero" according to whether each predictor is estimated as having a linear effect, nonlinear effect of zero effect. The ordering in the returned vector matches that of the columns of Xlinear and then the columns of Xgeneral.

Value

A vector of character strings having the same length as the number of predictors, which conveys the estimated effect types.

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)

# Obtain the vector of effect types:

effectTypesVector(fit)

gamselBayes documentation built on June 8, 2025, 10:21 a.m.