# plot.tsglm

0th

Percentile

##### Diagnostic Plots for a Fitted GLM-type Model for Time Series of Counts

Produces several diagnostic plots to asses the fit of a GLM-type 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 to tsglm.
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.
##### 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.

tsglm for fitting a GLM for time series of counts.

• plot.tsglm
##### 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)

Documentation reproduced from package tscount, version 1.3.0, License: GPL-2 | GPL-3

### Community examples

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