anscombe.residuals: Compute Anscombe residuals
In jimhester/surveillance: Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena
Description
Usage
Arguments
Value
References
Description
The residuals of m are transformed to form Anscombe residuals.
which makes them approximately standard normal distributed.
Usage
1
anscombe.residuals(m, phi)
Arguments
m
m is a glm object of the fit
phi
phi is the current estimated over-dispersion
Value
Standardized Anscombe residuals of m
References
McCullagh & Nelder, Generalized Linear Models, 1989
jimhester/surveillance documentation built on May 19, 2019, 10:33 a.m.
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Description Usage Arguments Value References
Description
The residuals of m are transformed to form Anscombe residuals.
which makes them approximately standard normal distributed.
Usage
1 | anscombe.residuals(m, phi)
|
Arguments
m |
|
phi |
|
Value
Standardized Anscombe residuals of m
References
McCullagh & Nelder, Generalized Linear Models, 1989
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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