BinaryOutcomeModel | R6 class for fitting and making predictions for a single... |
BinomialGLM | R6 class for storing the design matrix and the binary outcome... |
CategorModel | R6 class for fitting and predicting joint probability for a... |
ContinModel | R6 class for fitting and predicting joint probability for a... |
DataStorageClass | R6 class for storing, managing, subsetting and manipulating... |
defineIntervedTRT | Define counterfactual dynamic treatment |
defineMONITORvars | Helper routine to define the monitoring indicator and time... |
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' |
GenericModel | Generic R6 class for modeling (fitting and predicting)... |
get_FUPtimes | Follow-up times by regimen |
getIPWeights | Inverse Probability Weights. |
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... |
make_report_rmd | Generate report(s) with modeling stats and survival estimates... |
OdataCatCENS | An example of a dataset in long format with categorical... |
OdataNoCENS | An example of a dataset in long format with random monitoring... |
OdatDT_10K | An example of a dataset in long format with random monitoring... |
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... |
print.H2Oensemblemodel | S3 methods for printing model fit summary for H2Omodel class... |
print.H2Omodel | S3 methods for printing model fit summary for H2Omodel class... |
print_stremr_opts | Print Current Option Settings for 'stremr' |
QlearnModel | R6 Class for Q-Learning |
RegressionClass | R6 class that defines regression models evaluating P(sA|sW),... |
set_all_stremr_options | Setting 'stremr' Options |
StratifiedModel | R6 class for fitting and predicting with several stratified... |
stremr | Estimate Survival with Interventions on Exposure and... |
stremrOptions | Querying/setting a single 'stremr' option |
stremr-package | Estimate the Survival of Intervention on Exposures and... |
summary.GLMmodel | S3 methods for getting model fit summary for glmfit class... |
summary.H2Oensemblemodel | S3 methods for getting model fit summary for H2Oensemblemodel... |
summary.H2Omodel | S3 methods for getting model fit summary for H2Omodel class... |
survDirectIPW | Direct (bounded) IPW estimator of discrete survival function. |
survMSM | Estimate Survival with a particular MSM for the... |
survNPMSM | Non-parametric (saturated) MSM for survival based on... |
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