plot.interv_detect {tscount} | R Documentation |
Provides a plot of the test statistics of a test on an intervention in GLM-type count time series (as returned by interv_detect.tsglm
) against time.
## S3 method for class 'interv_detect' plot(x, ...)
x |
an object of class |
... |
additional arguments to be passed to function |
Tobias Liboschik and Philipp Probst
interv_detect
for detecting an intervention effect in GLM-type count time series and tsglm
for fitting such a model.
## Not run: ###Campylobacter infections in Canada (see help("campy")) campyfit <- tsglm(ts=campy, model=list(past_obs=1, past_mean=c(7,13))) campyfit_intervdetect <- interv_detect(fit=campyfit, taus=80:120, delta=1, external=FALSE) #This example runs about 20 minutes on a single processing unit, #of course depending on its speed. plot(campyfit_intervdetect) ## End(Not run)