RWL-class function

Class RWL

Class RWL contains results for an RWL analysis. class

Slots

• responseType: character indicating type of response
• residuals: vector of outcome residuals
• beta: vector of regime parameters
• 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

Methods For Post-Processing of Regression Analysis

• outcome: : Retrieve value object returned by outcome regression methods.

• 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.