Refactor: Extract helper functions to eliminate code duplication #47
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Identified and eliminated duplicated code patterns across 6 files, reducing ~160 lines of redundant logic.
Changes
Created
R/utils.RExtracted cross-file utilities:
create_counterfactual_datasets()- Treatment counterfactual generation (used in gcomp_ml, gcomp_stan, mim)extract_treatment_coef_name()- Coefficient name extraction with factor level handling (used in calc_stc, mim)Enhanced
R/calculate_ate.RConsolidated ALD data extraction and effect function dispatch:
extract_ald_value()- Eliminates repeateddplyr::filter→pullchains across 6 trial calculation functionsexecute_effect_function()- Centralizes effect function validation and executionBefore:
After:
Files Modified
R/calculate_ate.R- 6 functions refactored (variance/mean calculations for binary, continuous, count data)R/gcomp_ml.R,R/gcomp_stan.R,R/mim.R- Counterfactual dataset creationR/calc_stc.R- Coefficient name extractionAll helper functions marked
@keywords internalfor package-internal use.Original prompt
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