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SuperLearner wrapper for GLM with Gamma family and identity link

SL.glm.gamma.identity.Rd

A SuperLearner wrapper that implements generalized linear models using the Gamma family with an identity link.

Usage

SL.glm.gamma.identity(Y, X, newX, ...)

Arguments

Y

A numeric vector of outcome values.

X

A numeric matrix or data.frame of covariates and treatment.

newX

A numeric matrix or data.frame of predictors.

...

Any additional arguments.

Value

A list with components:

  • pred: A numeric vector of predictions on newX.

  • fit: A list containing the fitted model object.

Details

The predictor matrix X is assumed to have a binary treatment column as its last column. Thus, we don't consider the last column when squared terms are defined. In addition to the main terms, coefficients for the squared covariates are included in the model.