plot.interv_detect

0th

Percentile

Plot Test Statistic of Intervention Detection Procedure for Count Time Series Following Generalised Linear Models

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.

Keywords
Intervention detection
Usage
"plot"(x, ...)
Arguments
x
an object of class "interv_detect", usually a result of a call to interv_detect.tsglm.
...
additional arguments to be passed to function plot.
See Also

interv_detect for detecting an intervention effect in GLM-type count time series and tsglm for fitting such a model.

Aliases
  • plot.interv_detect
Examples
## 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)
Documentation reproduced from package tscount, version 1.3.0, License: GPL-2 | GPL-3

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