Hidden methods
Retrieve the Decision Point to which modelObj Pertains
Retrieve the Subset to which modelObj Pertains
Constructor method of SubsetList Class
Compare Equivalence of Provided Treatment Vectors
Convert a -1/1 Tx to User Provided Tx
Convert a User Provided Tx Variable to Binary -1/1
Convert Provided Treatment Vector to Appropriate Class
Get Treatment Levels
Retrieve Superset
Retrieve Treatment Variable Name
Ensure Validity of Provided Treatment Vector
Make Predictions for all Treatments.
Make Predictions for all Treatments.
Uses .predictAll() defined for OutcomeObj objects
Uses optTx defined for DynTxRegime objects
Print Q-Learning Information
Show Q-Learning Information
tmp(x)# S4 method for List
initialize(.Object, ...)
# S4 method for List
[[(x, i) <- value
# S4 method for DecisionPointList
[[(x, i) <- value
.getDecisionPoint(object)
.getSubset(object)
# S4 method for SubsetList
initialize(.Object, ...)
# S4 method for SubsetList
[[(x, i) <- value
# S4 method for ModelObj_SubsetList,ANY
plot(x, y, ...)
# S4 method for ModelObj_DecisionPointList,ANY
plot(x, y, ...)
.compareTx(object, vec1, vec2)
.convertFromBinary(txObj, ...)
.convertToBinary(txObj, ...)
.convertTx(object, txVec)
.getLevels(object, txVec)
.getSuperset(object)
.getTxName(object)
.validTx(object, txVec)
.getPtsSubset(object)
.getSingleton(object)
.getSubsetRule(object)
.getSubsets(object)
# S4 method for ANY
.getSubsetRule(object)
.identifySubsets(fSetResult, input, ...)
# S4 method for list,data.frame
.identifySubsets(fSetResult, input, ..., fSet)
# S4 method for list,list
.identifySubsets(fSetResult, input, ..., fSet)
# S4 method for ANY,data.frame
.identifySubsets(fSetResult, input, ..., fSet)
# S4 method for ANY,list
.identifySubsets(fSetResult, input, ..., fSet)
# S4 method for ANY,ANY
.identifySubsets(fSetResult, input, ..., fSet)
# S4 method for TxInfoList
initialize(.Object, ...)
.predictAll(object, newdata, ...)
.predictMu(object, data, ...)
# S4 method for QLearn
Call(name, ...)
# S4 method for QLearn
coef(object, ...)
# S4 method for QLearn
DTRstep(object)
# S4 method for QLearn
estimator(x, ...)
# S4 method for QLearn
fitObject(object, ...)
# S4 method for QLearn,data.frame
optTx(x, newdata, ...)
# S4 method for QLearn,missing
optTx(x, newdata, ...)
# S4 method for QLearn
outcome(object, ...)
# S4 method for QLearn,missing
plot(x, y, suppress = FALSE, ...)
# S4 method for QLearn
print(x, ...)
# S4 method for QLearn
show(object)
# S4 method for QLearn
summary(object, ...)
# S4 method for IQLearnSS
DTRstep(object)
# S4 method for IQLearnFS_C
DTRstep(object)
# S4 method for IQLearnFS_ME
DTRstep(object)
# S4 method for IQLearnFS_VHet
DTRstep(object)
.getNumPars(object)
.getParNames(object)
.getPars(object)
.getRegimeFunction(object)
.predictOptimalTx(x, newdata, ...)
.setPars(object, pars)
# S4 method for OptimalSeq
Call(name, ...)
# S4 method for OptimalSeq
coef(object, ...)
# S4 method for OptimalSeq
DTRstep(object)
# S4 method for OptimalSeq
estimator(x, ...)
# S4 method for OptimalSeq
fitObject(object, ...)
# S4 method for OptimalSeq,data.frame
optTx(x, newdata, ...)
# S4 method for OptimalSeq,missing
optTx(x, newdata, ...)
# S4 method for OptimalSeq
outcome(object, ...)
# S4 method for OptimalSeq,missing
plot(x, y, suppress = FALSE, ...)
# S4 method for OptimalSeq
propen(object, ...)
# S4 method for OptimalSeq
regimeCoef(object, ...)
# S4 method for OptimalSeq
summary(object, ...)
# S4 method for OptimalClass
Call(name, ...)
# S4 method for OptimalClass
coef(object, ...)
# S4 method for OptimalClass
DTRstep(object)
# S4 method for OptimalClass
estimator(x, ...)
# S4 method for OptimalClass
fitObject(object, ...)
# S4 method for OptimalClass,data.frame
optTx(x, newdata, ...)
# S4 method for OptimalClass,missing
optTx(x, newdata, ...)
# S4 method for OptimalClass
outcome(object, ...)
# S4 method for OptimalClass,missing
plot(x, suppress = FALSE, ...)
# S4 method for OptimalClass
propen(object, ...)
# S4 method for OptimalClass
summary(object, ...)
# S4 method for Kernel
initialize(.Object, data, model, kparam, ...)
.getKernelX(data, object, ...)
.kernel(object, x1, x2, ...)
.kernelNumPars(object, ...)
.dPhiFunc(surrogate, ...)
.optim(surrogate, ...)
.phiFunc(surrogate, ...)
.dobjFn(par, methodObject, kernel, ...)
.objFn(par, methodObject, kernel, ...)
.subsetObject(methodObject, ...)
.valueFunc(methodObject, ...)
.optimFunc(methodObject, ...)
# S4 method for CVBasic
initialize(.Object, cvFolds, txVec, ...)
.getValue(object)
.getOptimal(object)
# S4 method for OWL
Call(name, ...)
# S4 method for OWL
coef(object, ...)
# S4 method for OWL
cvInfo(object, ...)
# S4 method for OWL
DTRstep(object)
# S4 method for OWL
estimator(x, ...)
# S4 method for OWL
fitObject(object, ...)
# S4 method for OWL
optimObj(object, ...)
# S4 method for OWL,data.frame
optTx(x, newdata, ...)
# S4 method for OWL,missing
optTx(x, newdata, ...)
# S4 method for OWL
outcome(object, ...)
# S4 method for OWL,missing
plot(x, y, suppress = FALSE, ...)
# S4 method for OWL
propen(object, ...)
# S4 method for OWL
regimeCoef(object, ...)
# S4 method for OWL
summary(object, ...)
# S4 method for RWL
Call(name, ...)
# S4 method for RWL
coef(object, ...)
# S4 method for RWL
cvInfo(object, ...)
# S4 method for RWL
DTRstep(object)
# S4 method for RWL
estimator(x, ...)
# S4 method for RWL
fitObject(object, ...)
# S4 method for RWL
optimObj(object, ...)
# S4 method for RWL,data.frame
optTx(x, newdata, ...)
# S4 method for RWL,missing
optTx(x, newdata, ...)
# S4 method for RWL
outcome(object, ...)
# S4 method for RWL,missing
plot(x, y, suppress = FALSE, ...)
# S4 method for RWL
propen(object, ...)
# S4 method for RWL
regimeCoef(object, ...)
# S4 method for RWL
residuals(object, ...)
# S4 method for RWL
summary(object, ...)
.newBOWL(BOWLObj, ...)
# S4 method for BOWL
Call(name, ...)
# S4 method for BOWL
cvInfo(object, ...)
# S4 method for BOWL
coef(object, ...)
# S4 method for BOWL
DTRstep(object)
# S4 method for BOWL
estimator(x, ...)
# S4 method for BOWL
fitObject(object, ...)
# S4 method for BOWL
optimObj(object, ...)
# S4 method for BOWL,data.frame
optTx(x, newdata, ...)
# S4 method for BOWL,missing
optTx(x, newdata, ...)
# S4 method for BOWL
outcome(object, ...)
# S4 method for BOWL,missing
plot(x, y, suppress = FALSE, ...)
# S4 method for BOWL
propen(object, ...)
# S4 method for BOWL
regimeCoef(object, ...)
# S4 method for BOWL
summary(object, ...)
# S4 method for EARL
Call(name, ...)
# S4 method for EARL
coef(object, ...)
# S4 method for EARL
cvInfo(object, ...)
# S4 method for EARL
DTRstep(object)
# S4 method for EARL
estimator(x, ...)
# S4 method for EARL
fitObject(object, ...)
# S4 method for EARL
optimObj(object, ...)
# S4 method for EARL,data.frame
optTx(x, newdata, ...)
# S4 method for EARL,missing
optTx(x, newdata, ...)
# S4 method for EARL
outcome(object, ...)
# S4 method for EARL,missing
plot(x, y, suppress = FALSE, ...)
# S4 method for EARL
propen(object, ...)
# S4 method for EARL
regimeCoef(object, ...)
# S4 method for EARL
summary(object, ...)