update_mu_XA: Update mu via augmented covariate adjustment for fixed X

In PLUCR: Policy Learning Under Constraint

Update mu via augmented covariate adjustment for fixed X

Description

Computes updated Mu predictions by adding the bias correction for fixed psi_collection scaled by coefficients epsilon1_collection, then transforms back via the logistic function.

Usage

update_mu_XA(offset_mu_XA, epsilon1, psi_collection, H_XA)

Arguments

offset_mu_XA	A numeric vector of logit-scale baseline mu0 predictions.
epsilon1	A numeric vector of GLM coefficients for each column in psi_collection.
psi_collection	A matrix whose columns are optimal psi solutions.
H_XA	A numeric vector of inverse-propensity weights, typically from HX().

Value

A numeric vector of updated mu on the ⁠[0,1]⁠ scale.

PLUCR documentation built on March 30, 2026, 5:08 p.m.