Man pages for osofr/estimtr
Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data

BinomialGLMR6 class for storing the design matrix and the binary outcome...
CategorModelR6 class for fitting and predicting joint probability for a...
ContinModelR6 class for fitting and predicting joint probability for a...
DataStorageClassR6 class for storing, managing, subsetting and manipulating...
define_CVfoldsDefine fold ID column for cross-validation
defineIntervedTRTDefine counterfactual dynamic treatment
defineMONITORvarsHelper routine to define the monitoring indicator and time...
define_single_regressionDirectly specify a single regression model
defModelInterface for defining models
directIPWDirect (bounded) IPW estimator for the expected outcome over...
dt_1tAn example of a dataset in long format with one time-point...
dt_2tAn example of a dataset in long format with two time-points...
fit_CVTMLECV-TMLE wrapper for 'fit_GCOMP'
fit_GCOMPFit sequential GCOMP and TMLE for survival
fit_iterTMLEIterative TMLE wrapper for 'fit_GCOMP'
fit_iTMLEFit the sequential double robust (SDR) procedure, either with...
fitPropensityDefine and fit propensity score models.
fit_TMLETMLE wrapper for 'fit_GCOMP'
f_plot_survestPlot survival estimates using base R graphics
GenericModelGeneric R6 class for modeling (fitting and predicting)...
get_dataExtract input data from DataStorageClass
get_FUPtimesFollow-up times by regimen
getIPWeightsInverse Probability Weights.
get_MSM_RDsRisk Difference Estimates and SEs for IPW-MSM
get_RDsEvaluate the long format dataset of risk differences over...
get_TMLE_RDsRisk Difference Estimates and SEs for a list of TMLE outputs
get_wtsummaryIP-Weights Summary Tables
ggRDPlot risk differences over time with ggplot2
ggsurvSurvival curves with ggplot2
importDataImport data, define various nodes, define dummies for factor...
logit_linkinvFast C++ version of the inverse logit link function (expit)
make_report_rmdGenerate report(s) with modeling stats and survival estimates...
OdataCatCENSAn example of a dataset in long format with categorical...
OdataNoCENSAn example of a dataset in long format with random monitoring...
OdatDT_10KAn example of a dataset in long format with random monitoring...
openFileInOSOpen file
print.ModelStackS3 methods for printing a collection of learners
print_RDsPrint RD table
print_stremr_optsShow all current option settings
remove_gRemoving all g model fits from DataStorage object. Clean up...
SDR.updater.glmiTMLE glm learner / updater
SDR.updater.glmTMLEiTMLE univariate glm learner / updater
SDR.updater.NULLiTMLE NULL learner / updater
SDR.updater.xgbiTMLE gbm learner / updater
set_all_stremr_optionsSetting all possible 'stremr' options at once.
StratifiedModelR6 class for fitting and predicting with several stratified...
stremrRun all estimators (KM, hazard-IPW, direct-IPW, GCOMP plug-in...
stremrOptionsQuerying/setting a single 'stremr' option
stremr-packageEstimate the Survival of Intervention on Exposures and...
survMSMEstimate Survival with a particular MSM for the...
survNPMSMNon-parametric (saturated) MSM for survival based on...
trim_rows_after_tmaxRemoving not needed rows from observed data (and weights...
osofr/estimtr documentation built on Nov. 10, 2017, 12:44 a.m.