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newOptimalSeq

Complete a the Coarsened/Missing Data Analysis

Description

Dispatches appropriate coarsened or missing data perspective method.

Usage

.newOptimalSeq(moPropen, moMain, moCont, fSet, ...)

## S4 method for signature 
## 'ModelObj_DecisionPointList,
##   ModelObj_DecisionPointList,
##   ModelObj_DecisionPointList,
##   list'
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 
## 'ModelObj_DecisionPointList,ModelObj_DecisionPointList,‘NULL',list’
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 
## 'ModelObj_DecisionPointList,‘NULL',ModelObj_DecisionPointList,list’
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 'ModelObj_DecisionPointList,'NULL','NULL',list'
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 
## 'ModelObj_DecisionPointList,
##   ModelObj_DecisionPointList,
##   ModelObj_DecisionPointList,
##   ‘NULL'’
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 
## 'ModelObj_DecisionPointList,ModelObj_DecisionPointList,‘NULL','NULL'’
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 
## 'ModelObj_DecisionPointList,‘NULL',ModelObj_DecisionPointList,'NULL'’
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 'ModelObj_DecisionPointList,'NULL','NULL','NULL''
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 'modelObj,modelObj,modelObj,'NULL''
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 'modelObj,modelObj,'NULL','NULL''
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 'modelObj,'NULL',modelObj,'NULL''
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 'modelObj,'NULL','NULL','NULL''
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 'modelObj,modelObj,modelObj,'function''
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 'modelObj,modelObj,'NULL','function''
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 'modelObj,'NULL',modelObj,'function''
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 'modelObj,'NULL','NULL','function''
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 'ModelObj_SubsetList,modelObj,modelObj,'function''
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 'ModelObj_SubsetList,modelObj,'NULL','function''
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 'ModelObj_SubsetList,'NULL',modelObj,'function''
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 'ModelObj_SubsetList,'NULL','NULL','function''
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 
## 'ModelObj_SubsetList,
##   ModelObj_SubsetList,
##   ModelObj_SubsetList,
##   ‘function'’
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 
## 'ModelObj_SubsetList,ModelObj_SubsetList,‘NULL','function'’
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 
## 'ModelObj_SubsetList,‘NULL',ModelObj_SubsetList,'function'’
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 
## 'modelObj,ModelObj_SubsetList,ModelObj_SubsetList,‘function'’
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 'modelObj,ModelObj_SubsetList,'NULL','function''
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

## S4 method for signature 'modelObj,'NULL',ModelObj_SubsetList,'function''
.newOptimalSeq(
  moPropen,
  moMain,
  moCont,
  data,
  response,
  txName,
  regimesObj,
  fSet,
  iter,
  suppress,
  argsList,
  ...
)

Arguments

moPropen

model object(s) for propensity regression
moMain

model object(s) for main effects of outcome regression
moCont

model object(s) for contrasts of outcome regression
fSet

function(s) defining feasible tx
...

additional inputs.
DynTxRegime

Methods for Estimating Optimal Dynamic Treatment Regimes

v4.10
GPL-2
Authors
S. T. Holloway, E. B. Laber, K. A. Linn, B. Zhang, M. Davidian, and A. A. Tsiatis
Initial release
2022-06-05

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