Compute predictions from `party`

objects.

```
# S3 method for party
predict(object, newdata = NULL, perm = NULL, …)
predict_party(party, id, newdata = NULL, …)
# S3 method for default
predict_party(party, id, newdata = NULL, FUN = NULL, …)
# S3 method for constparty
predict_party(party, id, newdata = NULL,
type = c("response", "prob", "quantile", "density", "node"),
at = if (type == "quantile") c(0.1, 0.5, 0.9),
FUN = NULL, simplify = TRUE, …)
# S3 method for simpleparty
predict_party(party, id, newdata = NULL,
type = c("response", "prob", "node"), …)
```

object

objects of class `party`

.

newdata

an optional data frame in which to look for variables with which to predict, if omitted, the fitted values are used.

perm

an optional character vector of variable names. Splits of
nodes with a primary split in any of these variables will
be permuted (after dealing with surrogates). Note that
surrogate split in the `perm`

variables will no be permuted.

party

objects of class `party`

.

id

a vector of terminal node identifiers.

type

a character string denoting the type of predicted value
returned, ignored when argument `FUN`

is given. For
`"response"`

, the mean of a numeric response, the predicted
class for a categorical response or the median survival time for a
censored response is returned. For `"prob"`

the matrix of
conditional class probabilities (`simplify = TRUE`

) or a list
with the conditional class probabilities for each observation
(`simplify = FALSE`

) is returned for a categorical response.
For numeric and censored responses, a list with the empirical
cumulative distribution functions and empirical survivor functions
(Kaplan-Meier estimate) is returned when `type = "prob"`

.
`"node"`

returns an integer vector of terminal node
identifiers.

FUN

a function to extract (`default`

method) or compute
(`constparty`

method) summary statistics. For the `default`

method,
this is a function of a terminal node only, for the `constparty`

method,
predictions for each node have to be computed based on arguments `(y, w)`

where `y`

is the response and `w`

are case weights.

at

if the return value is a function (as the empirical cumulative distribution
function or the empirical quantile function), this function is evaluated
at values `at`

and these numeric values are returned. If `at`

is
`NULL`

, the functions themselves are returned in a list.

simplify

a logical indicating whether the resulting list of predictions should be converted to a suitable vector or matrix (if possible).

…

additional arguments.

A list of predictions, possibly simplified to a numeric vector, numeric matrix or factor.

The `predict`

method for `party`

objects
computes the identifiers of the predicted terminal nodes, either
for new data in `newdata`

or for the learning samples
(only possible for objects of class `constparty`

).
These identifiers are delegated to the corresponding
`predict_party`

method which computes (via
`FUN`

for class `constparty`

)
or extracts (class `simpleparty`

) the actual predictions.

# NOT RUN { ## fit tree using rpart library("rpart") rp <- rpart(skips ~ Opening + Solder + Mask + PadType + Panel, data = solder, method = 'anova') ## coerce to `constparty' pr <- as.party(rp) ## mean predictions predict(pr, newdata = solder[c(3, 541, 640),]) ## ecdf predict(pr, newdata = solder[c(3, 541, 640),], type = "prob") ## terminal node identifiers predict(pr, newdata = solder[c(3, 541, 640),], type = "node") ## median predictions predict(pr, newdata = solder[c(3, 541, 640),], FUN = function(y, w = 1) median(y)) # }