Plotting the GAIT Combo Density from a GAIT Regression Object
Given a GAIT regression object, plots the probability mass function.
plotdgait(object, ...) plotdgait.vglm(object, ...)
object |
A fitted GAIT combo regression, e.g.,
|
... |
Graphical arguments passed into |
This is meant to be a more convenient function for plotting
the PMF of the GAIT combo model from a fitted regression model.
The fit should be intercept-only and the distribution
should have 1 or 2 parameters.
Currently it should work for a gaitpoisson
fit.
As much information as needed
such as the special values
is extracted from the object
and fed into dgaitplot
.
Same as dgaitplot
.
This function is subject to change.
T. W. Yee.
## Not run: example(gaitpoisson) gaitpfit2 <- vglm(y1 ~ 1, crit = "coef", trace = TRUE, data = gdata, gaitpoisson(alt.mix = a.mix, inf.mix = i.mix, inf.mlm = i.mlm, eq.ap = TRUE, eq.ip = TRUE, truncate = tvec, max.support = max.support)) plotdgait(gaitpfit2) ## End(Not run)
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