ExpectedCounts: \(E_i = \sum_s n_{is} r_s\) with pooled stratum
rates, as SpatialEpi::expected (areas x strata tables).
StandardizedRatio: \(y/E\) with exact Poisson limits (Garwood
1936), as poisson.test. Identical to the Python arm
morie.fn.dismap.
Usage
ExpectedCounts(population, cases)
StandardizedRatio(observed, expected, conf = 0.95)
Arguments
- population, cases
Areas x strata matrices.
- observed, expected
Counts.
- conf
Confidence level.
References
Garwood, F. (1936). Fiducial limits for the Poisson
distribution. Biometrika 28, 437-442.
Examples
ExpectedCounts(rbind(c(100, 50), c(200, 50)), rbind(c(1, 2), c(3, 3)))
#> [1] 3.833333 5.166667
StandardizedRatio(7, 5.5)
#> $ratio
#> [1] 1.272727
#>
#> $lower
#> [1] 0.5117024
#>
#> $upper
#> [1] 2.622305
#>
