IQLearnFS_C-class: Class 'IQLearnFS_C'

Description Slots Methods For Post-Processing of Regression Analysis Methods For Accessing Main Results

Description

Class IQLearnFS_C contains the results for the first stage contrasts component of the interactive Q-Learning algorithm. Objects of this class are returned by iqLearnFSC().

Slots

txVec

: A numeric. treatment vector from training data

residuals

: A numeric. residuals of the fit

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.

sd

:Retrieve the standard deviation of the residuals.


DynTxRegime documentation built on Nov. 10, 2020, 1:08 a.m.