BOWL-class: Class 'BOWL'

In DynTxRegime: Methods for Estimating Optimal Dynamic Treatment Regimes

Class BOWL

Description

Class BOWL contains results from a single step of BOWL algorithm.

Slots

step

Integer indicating step of the algorithm

analysis

Contains a Learning or LearningMulti object.

analysis@txInfo

Feasible tx information.

analysis@propen

Propensity regression analysis.

analysis@outcome

Outcome regression analysis.

analysis@cvInfo

Cross-validation analysis if single regime.

analysis@optim

Optimization analysis if single regime.

analysis@optimResult

list of cross-validation and optimization results if multiple regimes. optimResult[[i]]@cvInfo and optimResult[[i]]@optim.

analysis@optimal

Estimated optimal Tx and value.

analysis@call

Unevaluated call to statistical method.

prodPi

Vector of the products of the propensity for the tx received

sumR

Vector of the sum of the rewards

index

Vector indicating compliance with estimated optimal regime

DynTxRegime documentation built on Nov. 25, 2023, 1:09 a.m.