Residuals of a Generalised Linear Model for Time Series of Counts
Returns the residuals of a fitted GLM-type model for time series of counts.
- Model assessment
"residuals"(object, type = c("response", "pearson", "anscombe"), ...)
an object of class
"tsglm". Usually the result of a call to
character value giving the type of residuals which should be returned. Choose
type="response"for raw residuals,
type="pearson"for Pearson residuals and
type="anscombe"for Anscombe residuals.
- further arguments are currently ignored. Only for compatibility with generic function.
Computes a vector with the respective residuals of the fit given in argument
Numerical vector of the residuals.
tsglm for fitting a GLM for time series of counts.
###Campylobacter infections in Canada (see help("campy")) campyfit <- tsglm(ts=campy, model=list(past_obs=1, past_mean=c(7,13))) campyfit_resid <- residuals(campyfit, type="pearson") plot(campyfit_resid) acf(campyfit_resid)
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