internal-rwl-class function

Class .rwl

Class .rwl stores parameters required for an RWL optimization step class

Slots

• x: Matrix of covariates for kernel
• txVec: Vector of treatment coded as -1/1
• absRinvPi: Vector of the absolute value of the residual weighted by the propensity for the treatment received
• residual: Vector of the residuals
• response: Vector of the response
• beta: Vector of beta parameters
• surrogate: The Surrogate for the loss-function
• pars: Vector of regime parameters
• kernel: The Kernel defining the decision function