SuperPredictor: Formula interface for SuperLearner::SuperLearner

In riskRegression: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks

Formula interface for SuperLearner::SuperLearner

Description

Formula interface for SuperLearner::SuperLearner

Usage

SuperPredictor(
  formula,
  data,
  family = "binomial",
  SL.library = c("SL.glm", "SL.glm.interaction", "SL.ranger"),
  ...
)

Arguments

formula	where the left hand side specifies the outcome and the right hand side the predictors
data	data set in which formula can be evaluated
family	the outcome family. default is binomial
SL.library	the SuperLearner libraries
...	passed to SuperLearner::SuperLearner

Details

Formula interface for SuperLearner::SuperLearner ##' @param formula

Examples

## Not run: 
if(require("SuperLearner",quietly=TRUE)){
library(SuperLearner)
library(data.table)
set.seed(10)
d = sampleData(338, outcome="binary")
spfit = SuperPredictor(Y~X1+X2+X3+X4+X5+X6+X7+X8+X9+X10,data=d)
predictRisk(spfit)
x <- Score(list(spfit),data=d,formula=Y~1)
}

## End(Not run)

riskRegression documentation built on May 29, 2024, 10:59 a.m.