Description

Class .rwl stores parameters required for an RWL optimization step

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