HCEB.moran.mc: Permutation test for Global Heteroscedasticity-Consistent...

In phjung/HCEB: Heteroscedasticity-Consistent Empirical Bayes Rate and Spatial Autocorrelation

Description

A permutation test for Global HC-EB Moran's I statistics by using nsim random permutations of HC-EB rates.

Usage

HCEB.moran.mc(n, x, se, listw, zero.policy = NULL, sig = 0.05,
  nsim = 1000)

Arguments

n	a numeric vector of counts of cases (numerator)
x	a numeric vector of populations at risk (denominator)
se	a numeric vector of sampling standard errors of corresponding populations at risk
listw	a listw object created for example by nb2listw
zero.policy	default NULL, use global option value; if TRUE assign zero to the lagged value of zones without neighbours, if FALSE assign NA
sig	default 0.05, pseudo significance level for permutation test
nsim	number of permutations

Value

I.HCEB	Heteroscedasticity-consistent empirical Bayes Global Moran's I
p.perm	pseudo p-value of Monte-Carlo permutation test

References

Jung, PH, Thill J-C, Issel M 2018 Spatial Autocorrelation Statistics of Areal Prevalence Rates under High Uncertainty in Denominator Data, Geographical Analysis

phjung/HCEB documentation built on May 27, 2019, 1:07 a.m.