tscount (version 1.4.3)

plot.interv_detect: Plot Test Statistic of Intervention Detection Procedure for Count Time Series Following Generalised Linear Models

Description

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.

Usage

# S3 method for interv_detect
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.

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)
# }

Run the code above in your browser using DataCamp Workspace