Man pages for olssol/rwetools
R functions for real-world data analysis
| c_get_ps | Get PS |
| cMatch | Match by nearest neighbor |
| c_ps_gmm_dg | Get Derivative of Moment Constraints |
| c_ps_gmm_g | Get ALL Moment Constraints |
| c_ps_gmm_gbar | Get Gbar and Sigma |
| c_ps_gmm_sigma | Get Gbar and Sigma |
| crtTest | Test Rcpp function |
| ex_data | Example dataset |
| get_match | Match by nearest neighbor |
| get_metric | Get balance by different metrics |
| metric_mhb | mahalanobis balance |
| plot.RWE_DWITHPS | Plot PS distributions |
| rwe_bal_metric | Get balance by different metrics |
| rwe_bal_metric_ps | Get PS-adjusted balance by different metrics |
| rweCut | Cut a sequence of numbers into bins with equal numbers in... |
| rweDist | Compute distance from F0 to F1 |
| rweEvenLmbdS | Split A into Bins |
| rwe_extract_stats | Extract summary statistics |
| rwe_extract_stats_covx | Get estimating equation |
| rweFreqTbl | Generate frequency table for factor columns |
| rweGetBinInt | Get intercept for a binary outcome. |
| rweGetLambda | Get weights |
| rweGetPowerA | Get the actual power term in the power prior |
| rwe_get_surv_int | Get Intercept for Survival Outcome Simulation |
| rweGetYSig | Compute standard error of the random error |
| rwe_gmm_ps | Get Propensity Scores by GMM |
| rwe_gmm_ps_old | Get Propensity Scores by GMM |
| rweGPS | Get generalized propensity scores |
| rweGpsDist | Get number of subjects and the distances of PS distributions... |
| rweGpsLambda | Get weights |
| rweGpsWl | PS-Integrated Weighted Likelihood Estimation |
| rwe_margin_entropy | Calculate entropy score |
| rwe_margin_ll | Calculate log-likelihood based on summary statistics |
| rwe_margin_ps | Calculate PS score based on simulated target data |
| rwe_margin_sample | Sample patient based on summary statistics |
| rwe_margin_simu | Simulate covariates based on summary statistics |
| rwe_margin_stat_diff | Calculate differences in summary statistics |
| rwe_match_ps | Match on PS |
| rwePlotUnbalance | Plot unbalance in covariates |
| rwePS | Get propensity scores |
| rwePSDist | Get number of subjects and the distances of PS distributions... |
| rwePsJkWL | PS-Integrated Composite Likelihood Estimation |
| rwePsPowDrawPost | Get Posterior for all stratum |
| rwePsPowDrawPrior | Get Prior Only for all stratum |
| rwe_ps_surv | PS-Integrated Survival Curve |
| rwePSUnbalance | Get unbalance after PS adjustment |
| rwePsWL | PS-Integrated Weighted Likelihood Estimation |
| rwe_shiny | Run Web-Based 'rwetools' application |
| rweSimuCombine | Combining simulation results |
| rweSimuCov | Simulate covariates following a mixture of multivariate... |
| rweSimuError | Simulate random errors |
| rweSimuFromTrial | Simulate data from an existing dataset |
| rweSimuSingleArm | Simulate outcomes for a single arm study |
| rwe_simu_surv | Simulate survival outcomes |
| rweSimuTwoArm | Simulate continuous outcomes for a two arm study |
| rweSTAN | Call STAN models |
| rweSummary | Summary statistics l |
| rweSummaryPost | Summary Posterior theta |
| rwe_tk_ps | Get Propensity Scores |
| rwetools-package | R tools for synthesizing real-world evidence |
| rweUnbalance | Get unbalance in baseline Covariates |
| rweWL | Weighted Likelihood Estimation for one external RWD |
| rweWL_G | Weighted Likelihood Estimation for general number of external... |
| rweXBeta | Simulate X multiplied by Beta |
| simupara | Parameters for simulating data |
| summary2 | add a method summary2 |
| summary2.RWE_DWITHPS | Summary unbalance metrics |
| tk_append_list | Append list |
| tkCallFun | Call function by its name organized as a vector |
| tkExpRst | Export results into a template file |
| tk_extract_stats | Extract summary statistics from a data frame |
| tk_get_xbeta | Get X^T times Beta |
| tkMakeLocal | Import objects in a list into a designated environment |
