predict.glmsmurf: Predictions Using Estimated Model

In BavoDC/ssmurf: Sparse Multi-Type Regularized Feature Modeling (package for testing purposes)

Description

Function to obtain predictions using the estimated model.

Usage

## S3 method for class 'glmsmurf'
predict(
  object,
  newdata = NULL,
  newoffset = NULL,
  type = c("link", "response", "terms"),
  ...
)

Arguments

object	An object of class 'glmsmurf', typically the result of a call to glmsmurf or glmsmurf.fit.
newdata	Optionally, a data frame containing the predictors used in the prediction. This can only be used when object contains a formula. When newdata is omitted, the predictions are based on the data used to fit the model in object.
newoffset	Optionally, a vector containing a new offset to be used in the prediction. When newoffset is omitted, the predictions use the offset which was used to fit the model in object.
type	Type of prediction. The default is on the scale of the linear predictors ("link"). Another option is on the scale of the response variable ("response"). For type "terms" a matrix containing the fitted values of each term in the model, on the linear predictor scale, is returned.
...	Additional arguments which are currently ignored.

Value

A vector containing the predicted values using the estimated model in object.

See Also

predict_reest, predict.glm, predict, glmsmurf, glmsmurf-class

Examples

## See example(glmsmurf) for examples
         

BavoDC/ssmurf documentation built on Dec. 17, 2021, 10:46 a.m.