OWL-class: Class 'OWL'

In DynTxRegime: Methods for Estimating Optimal Dynamic Treatment Regimes

Class OWL

Description

Class OWL contains results for an OWL analysis.

Slots

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.

Methods For Post-Processing of Regression Analysis

propen

: Retrieve value object returned by propensity regression methods.

coef

: Retrieve parameter estimates for all regression steps.

fitObject

: Retrieve value object returned by regression methods.

plot

: Generate plots for regression analyses.

Methods For Post-Processing of Optimization Analysis

cvInfo

: Retrieve cross-validation results.

optimObj

: Retrieve value object returned by optimization method(s).

regimeCoef

: Retrieve estimated parameters for optimal tx regime.

Methods For Accessing Main Results

DTRstep

: Retrieve description of method used to create object.

estimator

: Retrieve the estimated value of the estimated optimal regime for the training data set.

optTx

: Retrieve/predict the estimated decision functions and/or optimal tx.

print

: Print main results of analysis.

show

: Show main results of analysis.

summary

: Retrieve summary information.

DynTxRegime documentation built on June 8, 2025, 10:57 a.m.