Skip to contents

Predict averaged scores for new data

Source: R/methods.R
predict.psave.Rd

Computes the model-averaged propensity score (or prognostic score) for new observations by applying the stored candidate fits to newdata, clipping candidate propensity scores as at fit time, and combining them with the selected mixing weights. Requires psave(..., keep.fits = TRUE).

Usage

# S3 method for class 'psave'
predict(object, newdata, type = c("ps", "prog"), ...)

Arguments

object

A psave object fitted with keep.fits = TRUE.

newdata

A data frame containing the variables of the propensity score formula (for type = "ps") or of the prognostic specification (for type = "prog"). Missing values are an error.

type

"ps" (default) or "prog".

...

Ignored.

Value

A numeric vector with one score per row of newdata, named by its rownames. If newdata is missing, the in-sample fitted scores are returned (equivalent to fitted.psave()).

See also

psave(), fitted.psave()