plot.tsglm: Diagnostic Plots for a Fitted GLM-type Model for Time Series...
In tscount: Analysis of Count Time Series

Description Usage Arguments Details Author(s) See Also Examples

Produces several diagnostic plots to asses the fit of a GLM-type model for time series of counts.

1 2	## S3 method for class 'tsglm' plot(x, ask = TRUE, ...)

`x`	an object of class `"tsglm"`. Usually the result of a call to `tsglm`.
`ask`	logical value. If `TRUE` (and the R session is interactive) the user is asked for input, before a new figure is drawn (see `devAskNewPage`).
`...`	further arguments are currently ignored. Only for compatibility with generic function.

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.

Tobias Liboschik and Philipp Probst

tsglm for fitting a GLM for time series of counts.

###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)