simu2.data.generating: STARX: spatiotemporal autoregressive model with exogenous...

In funstatpackages/STARX: Spatiotemporal Autoregressive Model with Exogenous Variables

Description

This function generates simulation example for STAR with partially linear varying coefficient model.

Usage

simu2.data.generating(nS, nT, sigma, alpha, k = 10, boundary)

Arguments

nS	Number of points randomly generated from spatial domain.
nT	Number of times that spatial points are observed across the time.
sigma	Noise level.
alpha	α in STAR model.
k	The weight matrix is generated based on k-nearest neighbor. The default value in this simulation example is 10.
boundary	The boundary of the spatial domain.

Value

A list of five containing the data to fit model.

Y	response variable.
Z	exogenous variables with constant linear coefficients
X	exogenous variables with varying linear coefficients.
location	A nS * nT by three matrix with locations of data points.
W	weight matrix in STAR.

funstatpackages/STARX documentation built on Jan. 30, 2021, 11:47 p.m.