plot.tsglm
From tscount v1.3.0
by Tobias Liboschik
Diagnostic Plots for a Fitted GLMtype Model for Time Series of Counts
Produces several diagnostic plots to asses the fit of a GLMtype model for time series of counts.
 Keywords
 Model assessment
Usage
"plot"(x, ask = TRUE, ...)
Arguments
 x

an object of class
"tsglm"
. Usually the result of a call totsglm
.  ask

logical value. If
TRUE
(and the R session is interactive) the user is asked for input, before a new figure is drawn (seedevAskNewPage
).  ...
 further arguments are currently ignored. Only for compatibility with generic function.
Details
Produces plots of the acf of the Pearson residuals, the Pearson residuals plotted against time, a cumulative periodogramm of the Pearson residuals, a probability integral transform (PIT) histogram (see function pit
) and a marginal calibration plot (see function marcal
). The cumulative periodogramm is plotted with the function cpgram
from package MASS
and is omitted with a warning if this package is not available.
See Also
tsglm
for fitting a GLM for time series of counts.
Examples
###Campylobacter infections in Canada (see help("campy"))
interventions < interv_covariate(n=length(campy), tau=c(84, 100),
delta=c(1, 0)) #detected by Fokianos and Fried (2010, 2012)
#Linear link function with Negative Binomial distribution:
campyfit < tsglm(campy, model=list(past_obs=1, past_mean=13),
xreg=interventions, dist="nbinom")
plot(campyfit)
Community examples
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