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QLearnObj-class

Class QLearnObj


Description

Class QLearnObj contains the results for a Q-Learning step

Slots

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.


DynTxRegime

Methods for Estimating Optimal Dynamic Treatment Regimes

v4.10
GPL-2
Authors
S. T. Holloway, E. B. Laber, K. A. Linn, B. Zhang, M. Davidian, and A. A. Tsiatis
Initial release
2022-06-05

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