predict.psFit: S3 predict method for an object of class psFit
Description
S3 predict method for an object of class psFit
Usage
# S3 method for psFit
predict(
object,
newdata,
interval = c("none", "prof", "wald"),
level = 0.95,
...
)Value
either a named vector of fitted probabilities, or a data.frame
with columns predicted, lower, and upper and the row
names set to show what terms are being calculatd
Arguments
- object
an object of class psFit, usually from fitDist
or fitZIDist.
- newdata
an optional vector of integers at which to calculate
\(\Pr(X = x)\).
- interval
either "none", "prof", or "wald" and can
be abbreviated. If "prof" or "wald" AND the zeta model has
been used then an interval, based on the bounds of a 100 * level
confidence interval for the shape parameter, is given for each predicted
probability. The interval is provided based on either a Profile Likelihood,
or a Wald, confidence interval for the shape, and therefore cannot really
be regarded as a confidence interval for the probabilities. The intervals
might be more sensibly regarded as a measure of how sensitive the
probabilities are to the choice of shape parameter. NOTE: this parameter is
ignored if the Zero-inflated (ZIZ) model has been used.
- level
the level of a confidence interval. Ignored if interval ==
"none".
- ...
other arguments passed to predict---not used
Examples
Run this codedata(Psurveys)
roux = Psurveys$roux
fit = fitDist(roux)
predict(fit, interval = "prof")
Run the code above in your browser using DataLab