IQLearnFS_C-class: Class

Description

Results of the regression of the estimated contrasts of the outcome of interest from IQ-Learning algorithm (IQ3).

Arguments

Objects from the Class

Objects can be created by calls of the form new("IQLearnFS_C", ...). These objects are for convenience in package development and should not be created by users.

Slots

txVec:: An object of class "numeric." First-stage treatments in training data.
qFunc:: An object of class "matrix." The fitted values at both treatment options.
residuals:: An object of class "numeric." Residuals of the regression analysis.
yContHatSS:: An object of class "numeric." The estimated contrasts component of the outcome of interest.

Extends

Classes "IQLearnBase-class", "IQLearnFS-class", and "DynTxRegime-class" directly.

Class "OutcomeOnly-class" by class "IQLearnBase-class", distance 2.

Methods

DTRstep: signature(object = "IQLearnFS_C"): Retrieve description of method implemented to obtain object.
print: signature(x = "IQLearnFS_C"): Print key results of method.
residuals: signature(x = "IQLearnFS_C"): Retrieve residuals of the regression.
sd: signature(x = "IQLearnFS_C"): Standard deviation of residuals of the regression.
show: signature(object = "IQLearnFS_C"): Show key results of method.
stdResiduals: signature(x = "IQLearnFS_C"): Standardized residuals of the regression.

Examples

Run this code

showClass("IQLearnFS_C")

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