R: Methods for Estimating Optimal Dynamic Treatment Regimes

# Methods for Estimating Optimal Dynamic Treatment Regimes

## Documentation for package ‘DynTxRegime’ version 4.16

- DESCRIPTION file
- Package NEWS

## Help Pages

bmiData | Adolescent BMI dataset (generated toy example)
bowl | Backwards Outcome Weighted Learning.
buildModelObjSubset | Create Model Objects for Subsets of Data
Call | Retrieve Unevaluated Original Call
classif | Retrieve Classification Regression Analysis
classif-method | Retrieve Classification Regression Analysis
coef | Extract Model Coefficients From Objects Returned by Modeling Functions
cvInfo | Extract Cross-Validation Results
DTRstep | Identify Statistical Method Used to Obtain Result
earl | Efficient Augmentation and Relaxation Learning
EARL-class | Class 'EARL'
estimator | Retrieve the Estimated Value
estimator-method | Retrieve the Estimated Value
fitObject | Objects Returned by Modeling Functions
fittedCont | Retrieve the Fitted Contrast Component from Second Stage IQ-Learning
fittedCont-method | Retrieve the Fitted Contrast Component from Second Stage IQ-Learning
fittedMain | Retrieve the Fitted Main Effects Component from Second Stage IQ-Learning
fittedMain-method | Retrieve the Fitted Main Effects Component from Second Stage IQ-Learning
fSet | Defining the fSet Input Variable
genetic | Retrieve the Genetic Algorithm Results
genetic-method | Retrieve the Genetic Algorithm Results
iqLearn | Interactive Q-Learning
iqLearnFSC | Interactive Q-Learning
iqLearnFSM | Interactive Q-Learning
iqLearnFSV | Interactive Q-Learning
IQLearnFS_C-class | Class 'IQLearnFS_C'
IQLearnFS_ME-class | Class 'IQLearnFS_ME'
IQLearnFS_VHet-class | Class 'IQLearnFS_VHet'
iqLearnSS | Interactive Q-Learning
IQLearnSS-class | Class 'IQLearnSS'
iter | Defining the iter Input Variable
moPropen | Defining the moPropen Input Variable
optimalClass | Classification Perspective
OptimalClass-class | Class 'OptimalClass'
OptimalClassObj-class | Class 'OptimalClassObj'
OptimalInfo-class | Class 'OptimalInfo'
optimalSeq | Missing or Coarsened Data Perspective - Genetic Algorithm
OptimalSeq-class | Class 'OptimalSeq'
OptimalSeqCoarsened-class | Class Contains Results for the Coarsened Data IPW/AIPW Method
OptimalSeqMissing-class | Class Contains Results for the Missing Data IPW/AIPW Method
optimObj | Extract Optimization Results
optTx | Extract or Estimate the Optimal Tx and Decision Functions
optTx-method | Extract or Estimate the Optimal Tx and Decision Functions
outcome | Retrieve Outcome Regression Analysis
owl | Outcome Weighted Learning
OWL-class | Class 'OWL'
plot | Generates Plots as Defined by Modeling Functions
propen | Retrieve Propensity Regression Analysis
qLearn | A Step of the Q-Learning Algorithm
QLearn-class | Class 'QLearn'
QLearnObj-class | Class 'QLearnObj'
regimeCoef | Extract Regime Parameters
residuals | Extract Model Residuals
residuals-method | Extract Model Residuals
rwl | Residual Weighted Learning
RWL-class | Class 'RWL'
sd | Standard Deviation
sd-method | Standard Deviation
summary | Result Summaries