BinaryOutcomeModel      R6 class for fitting and making predictions for
                        a single binary outcome regression model P(B |
                        PredVars)
BinomialGLM             R6 class for storing the design matrix and the
                        binary outcome for a single GLM (logistic)
                        regression
CategorModel            R6 class for fitting and predicting joint
                        probability for a univariate categorical
                        summary A[j]
ContinModel             R6 class for fitting and predicting joint
                        probability for a univariate continuous summary
                        A[j]
DataStorageClass        R6 class for storing, managing, subsetting and
                        manipulating the input data.
GenericModel            Generic R6 class for modeling (fitting and
                        predicting) P(A=a|W=w) where A can be a
                        multivariate (A[1], ..., A[k]) and each A[i]
                        can be binary, categorical or continous
OdatDT_10K              An example of a dataset in long format with
                        random monitoring process and no right
                        censoring.
OdataCatCENS            An example of a dataset in long format with
                        categorical censoring variable.
OdataNoCENS             An example of a dataset in long format with
                        random monitoring and no right censoring.
QlearnModel             R6 Class for Q-Learning
RegressionClass         R6 class that defines regression models
                        evaluating P(sA|sW), for summary measures
                        (sW,sA)
StratifiedModel         R6 class for fitting and predicting with
                        several stratified models for a single outcome
                        variable (conditional on some covariate values)
defineIntervedTRT       Define counterfactual dynamic treatment
defineMONITORvars       Helper routine to define the monitoring
                        indicator and time since last visit
define_single_regression
                        Define regression models
fitIterTMLE             Iterative TMLE wrapper for 'fitSeqGcomp'
fitPropensity           Define and fit propensity score models.
fitSeqGcomp             Fit sequential GCOMP and TMLE for survival
fitTMLE                 TMLE wrapper for 'fitSeqGcomp'
getIPWeights            Inverse Probability Weights.
get_FUPtimes            Follow-up times by regimen
get_MSM_RDs             Risk Difference Estimates and SEs for IPW-MSM
get_TMLE_RDs            Risk Difference Estimates and SEs for a list of
                        TMLE outputs
get_wtsummary           IP-Weights Summary Tables
importData              Import data, define various nodes, define
                        dummies for factor columns and define OData R6
                        object
make_report_rmd         Generate report(s) with modeling stats and
                        survival estimates using pandoc.
openFileInOS            Open file
pander.H2OBinomialMetrics
                        Pander method for H2OBinomialMetrics class
pander.H2ORegressionMetrics
                        Pander method for H2ORegressionMetrics class
print.GLMmodel          S3 methods for printing model fit summary for
                        glmfit class object
print.H2Oensemblemodel
                        S3 methods for printing model fit summary for
                        H2Omodel class object
print.H2Omodel          S3 methods for printing model fit summary for
                        H2Omodel class object
print_stremr_opts       Print Current Option Settings for 'stremr'
set_all_stremr_options
                        Setting 'stremr' Options
stremr                  Estimate Survival with Interventions on
                        Exposure and MONITORing Process in Right
                        Censored Longitudinal Data.
stremr-package          Estimate the Survival of Intervention on
                        Exposures and MONITORing Process for Right
                        Censored Longitudinal Data.
stremrOptions           Querying/setting a single 'stremr' option
summary.GLMmodel        S3 methods for getting model fit summary for
                        glmfit class object
summary.H2Oensemblemodel
                        S3 methods for getting model fit summary for
                        H2Oensemblemodel class object
summary.H2Omodel        S3 methods for getting model fit summary for
                        H2Omodel class object
survDirectIPW           Direct (bounded) IPW estimator of discrete
                        survival function.
survMSM                 Estimate Survival with a particular MSM for the
                        survival-hazard function using previously
                        fitted weights.
survNPMSM               Non-parametric (saturated) MSM for survival
                        based on previously evaluated IP weights.
