(Experimental) Super Learner wrapper for fixed HAL

Source: R/fixed_HAL.R

depend on an hal9001 object. which is the fit on the whole data.

basic_fixed_HAL(
  Y,
  X,
  hal9001_object = NULL,
  newX = NULL,
  family = stats::gaussian(),
  obsWeights = rep(1, length(Y)),
  inflate_lambda = 1,
  ...
)

Arguments

Y

vector of target
X

data.frame of feature
hal9001_object

hal9001 object
newX

data.frame of features to generate prediction
family

glm family Y
obsWeights

vector of weight
inflate_lambda

scale the penalty factor
...

other arguments