TxInfoBasic-methods

.compareTx,TxInfoBasic,ANY,ANY-method

.convertFromBinary,TxInfoBasic-method

.convertToBinary,TxInfoBasic-method

.convertTx,TxInfoBasic-method

.getLevels,TxInfoBasic,ANY-method

.getSuperset,TxInfoBasic-method

.getTxName,TxInfoBasic-method

.validTx,TxInfoBasic-method

Methods Available for Objects of Class <code>TxInfoBasic</code>
<code>.compareTx(object, vec1, vec2)</code>
 not allowed
<code>.convertFromBinary(txObj, txVec)</code>
 converts a -1/1 Tx to user provided tx coding
<code>.convertToBinary(txObj, data)</code>
 converts user specified tx variable to binary -1/1
<code>.convertTx(object, txVec)</code>
 not allowed
<code>.getLevels(object, txVec)</code>
 not allowed
<code>.getSuperset(object)</code>
 retrieves superset information
<code>.getTxName(object)</code>
 retrieve tx variable name
<code>.validTx(object, txVec)</code>
 ensures all elements in txVec are allowed by superset

internal

Methods to estimate dynamic treatment regimes using Interactive
Q-Learning, Q-Learning, weighted learning, and value-search methods based on
Augmented Inverse Probability Weighted Estimators and Inverse Probability
Weighted Estimators. Dynamic Treatment Regimes: Statistical Methods for
Precision Medicine, Tsiatis, A. A., Davidian, M. D., Holloway, S. T., and Laber, E. B.,
Chapman & Hall/CRC Press, 2020, ISBN:978-1-4987-6977-8.

TxInfoBasic-methods: Methods Available for Objects of Class `TxInfoBasic`

Description

Usage

Arguments