predict.gldrm: Predict method for a gldrm object

In gldrm: Generalized Linear Density Ratio Models

Description

Obtains predicted probabilities, predicted class, or linear predictors.

Usage

## S3 method for class 'gldrm'
predict(object, newdata = NULL, type = c("link", "response",
  "terms", "fTilt"), se.fit = FALSE, offset = NULL, ...)

Arguments

object	S3 object of class "gldrm", returned from the gldrm function.
newdata	Optional data frame. If NULL, fitted values will be obtained for the training data.
type	The type of prediction required. Type "link" returns the linear predictor. Type "response" returns the fitted mean. Type "terms" returns a matrix giving the fitted values of each term in the model formula on the linear predictor scale. Type "fTilt" returns a matrix containing the fitted nonparametric distribution for each observation. Each row of the matrix corresponds to an observation in newdata, and each column corresponds to a unique response value in the training data.
se.fit	Logical. If TRUE, standard errors are also returned. Does not apply for type = "fTilt".
offset	Optional offset vector. Only used if newdata is not NULL.
...	Not used. Additional predict arguments.

Value

The object returned depends on type.

gldrm documentation built on May 2, 2019, 12:59 p.m.