IQLearnFS_VHet-class: Class 'IQLearnFS_VHet'
In DynTxRegime: Methods for Estimating Optimal Dynamic Treatment Regimes

IQLearnFS_VHet-class

R Documentation

Class `IQLearnFS_VHet`

Description

Class IQLearnFS_VHet contains the results for the first stage residuals component of the interactive Q-Learning algorithm. Objects of this class are returned by iqLearnFSV().

Slots

residuals: : Standardized residuals of contrast after modeling
scale: : Scaling factor for stdization
step: : Not used in this context.
outcome: : The outcome regression analysis
txInfo: : The feasible tx information
optimal: : The estimated optimal tx, decision function, and value

Methods For Post-Processing of Regression Analysis

outcome: : Retrieve value object returned by outcome 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 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.

residuals: :Retrieve the residuals of the regression.
qqplot: QQ plot of the residuals for the interactive Q-Learning algorithm.

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