Man pages for osofr/estimtr
Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
| define_CVfolds | Define fold ID column for cross-validation |
| defineIntervedTRT | Define counterfactual dynamic treatment |
| defineMONITORvars | Helper routine to define the monitoring indicator and time... |
| define_single_regression | Directly specify a single regression model |
| defModel | Interface for defining models |
| directIPW | Direct (bounded) IPW estimator for the expected outcome over... |
| dt_1t | An example of a dataset in long format with one time-point... |
| dt_2t | An example of a dataset in long format with two time-points... |
| fit_CVTMLE | CV-TMLE wrapper for 'fit_GCOMP' |
| fit_GCOMP | Fit sequential GCOMP and TMLE for survival |
| fit_gMSM | Estimate any parametric MSM with previously fitted weights. |
| fit_hMSM | Estimate Survival with any MSM for the survival-hazard... |
| fit_iterTMLE | Iterative TMLE wrapper for 'fit_GCOMP' |
| fit_iTMLE | Fit the sequential double robust (SDR) procedure, either with... |
| fit_pooled_GCOMP | Fit sequential (iterative means) GCOMP by pooling across more... |
| fit_pooled_TMLE | Fit TMLE by pooling across more than one regimen |
| fitPropensity | Define and fit propensity score models. |
| fit_TMLE | TMLE wrapper for 'fit_GCOMP' |
| f_plot_survest | Plot survival estimates using base R graphics |
| get_data | Extract input data from DataStorageClass |
| get_FUPtimes | Follow-up times by regimen |
| getIPWeights | Inverse Probability Weights. |
| get_MSM_RDs | Risk Difference Estimates and SEs for IPW-MSM |
| get_RDs | Evaluate the long format dataset of risk differences over... |
| get_TMLE_RDs | Risk Difference Estimates and SEs for a list of TMLE outputs |
| get_wtsummary | IP-Weights Summary Tables |
| ggRD | Plot risk differences over time with ggplot2 |
| ggsurv | Survival curves with ggplot2 |
| importData | Import data, define various nodes, define dummies for factor... |
| iTMLE.updater.glm | iTMLE glm learner / updater |
| iTMLE.updater.xgb | iTMLE gbm learner / updater |
| linear.TMLE.updater.speedglm | Linear TMLE glm updater |
| 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 S4 class |
| pander.H2OGrid | Pander method for H2OGrid S4 class |
| pander.H2ORegressionMetrics | Pander method for H2ORegressionMetrics S4 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.ModelStack | S3 methods for printing a collection of learners |
| print_RDs | Print RD table |
| print_stremr_opts | Show all current option settings |
| print_tables | S3 methods for printing model fit summaries as pander tables |
| remove_g | Removing all g model fits from DataStorage object. Clean up... |
| set_all_stremr_options | Setting all possible 'stremr' options at once. |
| stremr | Run all estimators (KM, hazard-IPW, direct-IPW, GCOMP plug-in... |
| stremrOptions | Querying/setting a single 'stremr' option |
| stremr-package | Estimate the Survival of Intervention on Exposures and... |
| summary.GLMmodel | S3 methods for fit summary for glmfit class |
| summary.H2Oensemblemodel | S3 methods for getting model fit summary for H2Oensemblemodel... |
| summary.H2ORegressionModel | S3 methods for fit summary for h2o |
| summary.xgb.Booster | S3 methods for fit summary from xgboost |
| survMSM | Estimate Survival with a particular MSM for the... |
| survNPMSM | Non-parametric (saturated) MSM for survival based on... |
| TMLE.updater.glm | iTMLE univariate glm learner / updater |
| TMLE.updater.NULL | iTMLE NULL learner / updater |
| trim_rows_after_tmax | Removing not needed rows from observed data (and weights... |
