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smerc (version 1.8.3)

morancr.stat: Constant-risk Moran's I statistic

Description

morancr.stat computes the constant-risk version of the Moran's I statistic proposed by Walter (1992).

Usage

morancr.stat(cases, w, ex)

Value

Returns a numeric value.

Arguments

cases

The number of cases observed in each region.

w

A binary spatial adjacency matrix for the regions.

ex

The expected number of cases for each region.

Author

Joshua French

References

Walter, S. D. (1992). The analysis of regional patterns in health data: I. Distributional considerations. American Journal of Epidemiology, 136(6), 730-741.

See Also

morancr.test

Examples

Run this code
data(nydf)
data(nyw)
ex <- sum(nydf$cases) / sum(nydf$pop) * nydf$pop
morancr.stat(cases = nydf$cases, w = nyw, ex = ex)

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