Some details.
# S3 method for foehnix
predict(object, newdata = NULL, type = "response", ...)a foehnix mixture model object.
if NULL (default) the prediction of the
underlying training data set will be returned
(see also fitted.foehnix). Else newdata
has to be a zoo object providing the required
variables which have been used for model fitting
and filtering (see foehnix).
character, one of "response" (default),
"all".
additional arguments, ignored.
Returns a zoo object with foehn probabilities
and (if type = "all") additional information. See 'Details'
section for more information.
Used for prediction (perform foehn diagnosis given the
estimated parameters on a new data set (newdata). If no
new data set is provided (newdata = NULL) the prediction
is made on the internal data set, the data set which has been
used to train the foehnix mixture model.
If a new data set is provided (newdata) the foehn diagnosis
will be performed on this new data set, e.g., based on a set
of new observations when using foehnix for operational
near real time foehn diagnosis.
Note that newdata has to be a zoo object containing
the required information to perform the foehnix diagnosis,
namely the variables used for classification (see
formula.foehnix plus the ones used to filter the data
(see foehnix input argument filter).
Usually type = "response" is used which returns the foehn
probabilities. If type = "all" a set of additional values will
be returned, namely:
density1 density of the first component of the mixture model.
density2 density of the second component (foehn component) of the
mixture model.
ccmodel probability from the concomitant model.
Note that the foehn probability is simply given by:
ccmodel * density2 / ((1 - ccmodel) * density1 + ccmodel * density2)