HCEB.est: Heteroscedasticity-Consistent Empirical Bayes rate

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

Description

Compute HC-EB rate estimates for rates smoothed to the overall mean by their denominator data uncertainty.

Usage

HCEB.est(n, x, se)

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

Value

A data frame with three columns:

raw	a numerical vector of raw rates
EB	a numerical vector of empirical Bayes estimates
HCEB	a numerical vector of heteroscedasticity-consistent empirical Bayes estimates

with parameters

w.EB	Empirical Bayes weight
w.HCEB	Heteroscedasticity-consistent empirical Bayes weight
m	Overall mean rate

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.