hgwrr (version 0.5-0)

multisampling: Simulated Spatial Multisampling Data (DataFrame)

Description

A simulation data of spatial hierarchical structure and samples overlapping on certain locations.

Usage

data(multisampling)

Format

A list of two items called "data" and "coord". Item "data" is a data frame with 484 observations at 16 locations on the following 6 variables.

y

a numeric vector, dependent variable \(y\)

g1

a numeric vector, group level independent variable \(g_1\)

g2

a numeric vector, group level independent variable \(g_2\)

z1

a numeric vector, sample level independent variable \(z_1\)

x1

a numeric vector, sample level independent variable \(x_1\)

group

a numeric vector, group id of each sample

where g1 and g2 are used to estimate local fixed effects; x1 is used to estimate global fixed effects and z1 is used to estimate random effects.

Author

Yigong Hu

Examples

data(multisampling)
hgwr(formula = y ~ L(g1 + g2) + x1 + (z1 | group),
     data = multisampling$data,
     coords = multisampling$coords,
     bw = 10)