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Applying a variable selection\nalgorithm on each imputed dataset will likely lead to different\nsets of selected predictors, making it difficult to ascertain a\nfinal active set without resorting to ad hoc combination rules.\n'miselect' presents Stacked Adaptive Elastic Net (saenet) and\nGrouped Adaptive LASSO (galasso) for continuous and binary\noutcomes, developed by Du et al (2022)\n. They, by construction,\nforce selection of the same variables across multiply imputed\ndata. 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