.earl stores parameters required for EARL optimization step.
Matrix of covariates for kernel
Vector of positive weights
Vector of negative weights
Matrix of outcome regression
Vector of treatment coded as -1/1
Vector of inverse propensity for treatment received
Vector of the response
The Surrogate for the loss-function
Vector of regime parameters
The Kernel defining the decision function
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