residuals.tsglm: Residuals of a Generalised Linear Model for Time Series of...

In tscount: Analysis of Count Time Series

Description

Returns the residuals of a fitted GLM-type model for time series of counts.

Usage

## S3 method for class 'tsglm'
residuals(object, type = c("response", "pearson", "anscombe"), ...)

Arguments

object	an object of class "tsglm". Usually the result of a call to tsglm.
type	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.

Details

Computes a vector with the respective residuals of the fit given in argument object.

Value

Numerical vector of the residuals.

Author(s)

Tobias Liboschik and Philipp Probst

See Also

tsglm for fitting a GLM for time series of counts.

Examples

###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)

Example output

tscount documentation built on Sept. 8, 2020, 9:08 a.m.