gdata: Dataset for SAMCrsa

In SAMCpack: Stochastic Approximation Monte Carlo (SAMC) Sampler and Methods

Description

Simulated data list with response variable distributed with 'powered exponential' covariance matrix, with φ=25, τ=1, κ=1, σ=1.

Usage

data(gdata)

Format

A sample dataset with 1000 observations. It's save as an R's native list, and see the table for description of variables in the gdata list,

VARIABLE	SIZE	DESCRIPTION
coords	(1000\times 2) matrix	2D location for each observation
y	length-1000 vector	response value
X	length-1000 vcetor	covariate

This is the default example data for SAMCrsa.

Details

Below is the code used to generate gdata:

require("geoR")
require("RandomFields")
DataNum=1000
gData=grf(DataNum,grid="irreg",DataNum,DataNum,xlims=c(0,100),ylims=c(0,100),nsim=1,mean=0,
          cov.mode="powered.exponential",cov.par=c(1,25),nugget=1,kappa=1)
gdata = list(y=gData$data+.5+rnorm(DataNum), X=rnorm(DataNum), coords=gData$coords)

SAMCpack documentation built on May 2, 2019, 7:31 a.m.