EbGlobal: Marshall (1991) global estimator as spdep::EBest.
EbLocal: local estimator as spdep::EBlocal (neighbourhoods
include the unit; variance terms use each neighbour's local mean).
ProbabilityMap: Choynowski (1959) Poisson tail probabilities as
spdep::probmap.
Usage
EbGlobal(cases, population)
EbLocal(cases, population, neighbours)
ProbabilityMap(cases, population, alternative = "less")
Arguments
- cases
Counts.
- population
Populations at risk.
- neighbours
List of 1-based neighbour indices (self excluded).
- alternative
"less" or "greater".
References
Marshall, R. J. (1991). Mapping disease and mortality rates
using empirical Bayes estimators. Journal of the Royal Statistical
Society C 40, 283-294.
Choynowski, M. (1959). Maps based on probabilities. Journal of the
American Statistical Association 54, 385-388.
Examples
EbGlobal(c(2, 10, 3), c(100, 200, 150))$estimate
#> [1] 0.03333333 0.03333333 0.03333333
EbLocal(c(2, 10, 3), c(100, 200, 150), list(2, c(1, 3), 2))$estimate
#> [1] 0.03770492 0.03909603 0.03326316
ProbabilityMap(c(2, 10, 3), c(100, 200, 150))$pmap
#> [1] 0.3527762 0.9234459 0.2650259
