Man pages for WMAP
Weighted Meta-Analysis with Pseudo-Populations
| balancing.weights | Compute balancing weights using FLEXOR, IC, or IGO methods |
| bootStrap | Bootstrap procedure for variance estimation |
| causal.estimate | Estimate causal effects using FLEXOR, IC, or IGO methods |
| check.factor | Check if factor levels are valid |
| checkSample | Validate and resample bootstrap data |
| demo | Demo Dataset |
| fn.check_ess | Check for low effective sample size |
| fn.check_extreme_weights | Check for extreme weights |
| fn.check_positivity | Check for positivity violations |
| fn.clip | Clip vector values to bounds and renormalize |
| fn.createListData | Create structured data list from input vectors |
| fn.ESS_FLEXOR | Function for FLEXOR optimization |
| fn.Estimate_mgPS | Estimate multiple propensity scores |
| fn.fit_outcome_model | Fit random forest outcome model and generate predicted... |
| fn.FLEXOR | Calculate FLEXOR weights |
| fn.folds_by_observation | Assign cross-fitting folds by observation rather than by row |
| fn.IC | Calculate IC weights |
| fn.loop | Iterative optimization loop for FLEXOR |
| fn.Omnibus | Calculate IGO weights |
| fn.PMF_quantile | Calculate the weighted quantile using probability mass... |
| fn.rdirichlet | Sample from Dirichlet distribution |
| fn.RF_crossfit_once | Run one complete 5-fold cross-fit for propensity score... |
| fn.RF_fit_single | Single-fit propensity score estimation for bootstrap samples |
| fn.RF_tune_nodesize | Select min.node.size for propensity RF via weight-stability... |
| fn.RF_ZFirst | Estimate joint propensity scores with cross-fitting or single... |
| fn.run_diagnostics | Run all diagnostic checks on balancing weights |
| fn.Stage2 | Calculate weighted moments and group differences |
| fn.SVD | Perform SVD dimensionality reduction on covariates |
| fn.userInputChecks_1 | Validate method and FLEXOR-specific parameters |
| fn.userInputChecks_2 | Validate data dimensions and completeness |
| fn.userInputChecks_3 | Variable outcome dimensions |
| fn.Weights | Wrapper for Stage1 function with retry logic |
| global_variables | Global variable declarations for R CMD check |
| grapes-or-or-grapes | Null coalescing operator Returns first argument if not NULL,... |
| is.natural | Check if value is a natural number |
| is.probvector | Check if vector is a valid probability vector |
| plot.causal_estimates | Plot method for objects of class 'causal_estimates' |
| preStage1 | Preprocess data for Stage 1 analysis |
| Stage1 | Calculate balancing weights with method routing |
| summary.balancing_weights | Summary method for objects of class 'balancing_weights' |
| summary.causal_estimates | Summary method for objects of class 'causal_estimates' |
| write_res | Format estimates with confidence intervals |
| write_sigma_ratio | Calculate standard deviation ratios with confidence intervals |
