plot.CountsEPPM: Diagnostic Plots for CountsEPPM Objects

In CountsEPPM: Mean and Variance Modeling of Count Data

Diagnostic Plots for CountsEPPM Objects

Description

Various types of standard diagnostic plots can be produced, involving various types of residuals, influence measures etc.

Usage

## S3 method for class 'CountsEPPM'
plot(x, which = 1:4, caption = c("Residuals vs indices of obs.", "Cook's distance plot",
 "Leverage vs predicted values", "Residuals vs linear predictor",
 "Normal Q-Q plot of residuals", "Predicted vs observed values"),
 sub.caption = " ", main = "", ask = prod(par("mfcol"), 1) <
 length(which) && dev.interactive(), ..., type = "spearson")

Arguments

x	fitted model object of class "CountsEPPM".
which	numeric. If a subset of plots is required, specify a subset of the numbers 1:6.
caption	character. Captions to appear above the plots.
sub.caption	character. Common title-above figures if there are multiple.
main	chaacter. Title to each plot in addition to the above caption.
ask	logical. If true, the user is asked before each plot.
...	other parameters to be passed through to plotting functions.
type	character indicating type of residual to be used, see residuals.CountsEPPM.

Details

The plot method for CountsEPPM objects produces various plots of diagnostic plots similar to those produced by betareg. See Ferrari and Cribari-Neto (2004) for further details of the displays of betareg.

Author(s)

David M. Smith <[e-mail]>

References

Cribari-Neto F, Zeileis A. (2010). Beta Regression in R. Journal of Statistical Software, 34(2), 1-24. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v034.i02")}.

See Also

plot.betareg

Examples

## Not run: 
data("herons.group") 
output.fn  <- CountsEPPM(number.attempts ~ 0 + group,
 herons.group, model.type = 'mean only', model.name = 'Poisson')
cooks.distance(output.fn)
plot(output.fn, which = 1, type= "sdeviance")

## End(Not run)

CountsEPPM documentation built on May 29, 2024, 11:54 a.m.