update_nu_XA: Update nu via augmented covariate adjustment for fixed X

In PLUCR: Policy Learning Under Constraint

Update nu via augmented covariate adjustment for fixed X

Description

Computes updated Nu predictions by adding the bias correction for fixed sigma_psi_collection scaled by coefficients epsilon2_collection, then transforms back via the logistic function.

Usage

update_nu_XA(offset_nu_XA, epsilon2, sigma_psi_collection, H_XA)

Arguments

offset_nu_XA	A numeric vector of logit-scale baseline nu0 predictions.
epsilon2	A numeric vector of GLM coefficients for each column in sigma_psi_collection.
sigma_psi_collection	A matrix whose columns are optimal psi solutions composed by sigma.
H_XA	A numeric vector of inverse-propensity weights, typically from HX().

Value

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

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