baseline.dist: Generate Distance Samples to Build Baseline Distribution
In geoCount: Analysis and Modeling for Geostatistical Count Data

Description Usage Arguments Details Value Author(s) See Also Examples

This function generates the samples of distance to build the baseline distribution for standard normal.

1	baseline.dist(n, iter)

`n`	the number of residuals
`iter`	the number of distance samples to generate

HellingerDist and KolmogorovDist functions in {distrEx} are used to compute the distances. See ?HellingerDist and ?KolmogorovDist for details about how the distances are computed.

A iter \times 3 matrix for three types of distance: "Discrete Hellinger", "Smooth Hellinger" and "Kolmogorov".

Liang Jing ljing918@gmail.com

d.base, plot_baseline, pOne.

## Not run: 
# Time-consuming! Run once with large "iter" and 
# save the results for future use
d.base <- baseline.dist(50, iter=100) 
## End(Not run)