RWL-class: Class 'RWL'

In DynTxRegime: Methods for Estimating Optimal Dynamic Treatment Regimes

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.

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