RWL-class {DynTxRegime}

Class RWL

Description

Class RWL contains results for an RWL analysis.

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.