R2BayesX (version 0.3-1)

GAMart: GAM Artificial Data Set

Description

This is an artificial data set mainly used to test the R2BayesX interfacing functions. The data includes three different types of response variables. One numeric, one binomial and a categorical response with 4 different levels. In addition, several numeric and factor covariates are provided. The data set is constructed such that the observations are based upon different locations (pixels in `longitude' and `latitude' coordinates) obtained from a regular grid.

Usage

data("GAMart")

See Also

bayesx

Examples

data("GAMart")

## normal response
b <- bayesx(num ~ fac + sx(x1) + sx(x2) + sx(x3) +
  sx(long, lat, bs = "te") + sx(id, bs = "re"),
  data = GAMart)
summary(b)
plot(b)

## binomial response
b <- bayesx(bin ~ fac + sx(x1) + sx(x2) + sx(x3) +
  sx(long, lat, bs = "te") + sx(id, bs = "re"),
  data = GAMart, family = "binomial", method = "REML")
summary(b)
plot(b)

## categorical response
b <- bayesx(cat ~ fac + sx(x1) + sx(x2) + sx(x3) +
  sx(long, lat, bs = "te") + sx(id, bs = "re"),
  data = GAMart, family = "cumprobit", method = "REML")
summary(b)
plot(b)