LearningObject-class: Class 'LearningObject'
In DynTxRegime: Methods for Estimating Optimal Dynamic Treatment Regimes
LearningObject-class R Documentation
Class LearningObject
Description
Class LearningObject contains stores parameters required for
weighted learning optimization step
Slots
muMatrix of outcome regression
txVecVector of treatment coded as -1/1
invPiVector of inverse propensity for treatment received
responseVector of the response
DynTxRegime documentation built on June 8, 2025, 10:57 a.m.
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| LearningObject-class | R Documentation |
Class LearningObject
Description
Class LearningObject contains stores parameters required for
weighted learning optimization step
Slots
muMatrix of outcome regression
txVecVector of treatment coded as -1/1
invPiVector of inverse propensity for treatment received
responseVector of the response
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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