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surveillance

anscombe.residuals

Compute Anscombe Residuals

Description

Compute Anscombe residuals from a fitted glm, which makes them approximately standard normal distributed.

Usage

anscombe.residuals(m, phi)

Arguments

m

a fitted "glm"
phi

the current estimated overdispersion

Value

The standardized Anscombe residuals of m

References

McCullagh & Nelder, Generalized Linear Models, 1989

surveillance

Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena

v1.19.1
GPL-2
Authors
Michael H<f6>hle [aut, ths] (<https://orcid.org/0000-0002-0423-6702>), Sebastian Meyer [aut, cre] (<https://orcid.org/0000-0002-1791-9449>), Michaela Paul [aut], Leonhard Held [ctb, ths], Howard Burkom [ctb], Thais Correa [ctb], Mathias Hofmann [ctb], Christian Lang [ctb], Juliane Manitz [ctb], Andrea Riebler [ctb], Daniel Saban<e9>s Bov<e9> [ctb], Ma<eb>lle Salmon [ctb], Dirk Schumacher [ctb], Stefan Steiner [ctb], Mikko Virtanen [ctb], Wei Wei [ctb], Valentin Wimmer [ctb], R Core Team [ctb] (A few code segments are modified versions of code from base R)
Initial release
2021-03-30

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