Predicting model for dbchoice
Predicting method for objects of class "dbchoice".
## S3 method for class 'dbchoice'
predict(object, newdata = NULL, type = c("utility", "probability"),
bid = NULL, ...)object |
an object of class "dbchoice". |
newdata |
a data frame containing new data to predict. If |
type |
type of prediction (utility or probability). |
bid |
a bid design needed to predict with original data. |
... |
optional arguments. Currently not in use. |
The function predict() for S3 object "dbchoice" calculates predicted values
according to the fitted model that is included in object. The values are
predicted with the original data used for fitting the model if newdata = NULL,
otherwise with a new data assigned to newdata. There are two notes for
dbchoice(): a bid design used for the fit must be assigned to bid,
when predicting with the original data; the predicted values are calculated according
to the relevant single-bounded dichotomous choice model, when predicting with a new
data. See examples for details.
The current function does not estimate standard errors of predicted values.
When newdata = NULL and type = utility, a matrix containing utility
values under first (f), second upper (u), and second lower (l) bids
is returned. When newdata = NULL and type = probability, a matrix
containing probabilities of choosing Yes-Yes (yy), No-No (nn), Yes-No (yn),
and No-Yes (ny) is returned. When a new data is assigned to newdata,
predictions are calculated according to the relevant single-bounded dichotomous choice
model, and a vector containing utility values of choosing yes (type = utility)
or probability of choosing yes (type = probability) is returned.
## See Examples in dbchoice.
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