FastLR Wrapper Predictions — predict.fast_logistic_regression • fastLogisticRegressionWrap

Predicts returning p-hats

Usage

# S3 method for class 'fast_logistic_regression'
predict(object, newdata, type = "response", ...)

Arguments

object: The object built using the fast_logistic_regression or fast_logistic_regression_stepwise wrapper functions
newdata: A matrix of observations where you wish to predict the binary response.
type: The type of prediction required. The default is "response" which is on the response scale (i.e. probability estimates) and the alternative is "link" which is the linear scale (i.e. log-odds).
...: Further arguments passed to or from other methods

Value

A numeric vector of length nrow(newdata) of estimates of P(Y = 1) for each unit in newdata.

Examples

library(MASS); data(Pima.te)
flr = fast_logistic_regression(
  Xmm = model.matrix(~ . - type, Pima.te), 
  ybin = as.numeric(Pima.te$type == "Yes")
)
phat = predict(flr, model.matrix(~ . - type, Pima.te))