Updates #3
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Updates #3
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…in the selection mechanism.
…difference with new outcome model definition. Compartmentalizing main function and creating helpers for readability and computational efficiency.
…pdates # Conflicts: # R/helpers.R
…timating equations * **Added**: Augmented inverse probability weighted (AIPW) estimator to main function via `id_form = "DR"` * **Improved**: Expanded simulation function to allow for binary and count outcomes, stratified clustered sampling, and increased parameters to specify the true propensity, selection, and outcome models. * **Updated**: Main function to be faster for larger sample sizes. Separated pieces of estimation workflow into helper functions (helpers.R) for better compartmentalization. * **Reorganized**: Simulations and real data analysis for companion paper in inst/ folder.
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Added: support for binary and count outcomes via generalized estimating equations
Added: Augmented inverse probability weighted (AIPW) estimator to main function via
id_form = "DR"Improved: Expanded simulation function to allow for binary and count outcomes, stratified clustered sampling, and increased parameters to specify the true propensity, selection, and outcome models.
Updated: Main function to be faster for larger sample sizes. Separated pieces of estimation workflow into helper functions (helpers.R) for better compartmentalization.
Reorganized: Simulations and real data analysis for companion paper in inst/ folder.