# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "misl" in publications use:' type: software license: MIT title: 'misl: Multiple Imputation by Super Learning' version: 2.0.0 doi: 10.32614/CRAN.package.misl identifiers: - type: url value: https://justinmanjourides.github.io/misl/ abstract: Performs multiple imputation of missing data using an ensemble super learner built with the tidymodels framework. For each incomplete column, a stacked ensemble of candidate learners is trained on a bootstrap sample of the observed data and used to generate imputations via predictive mean matching (continuous), probability draws (binary), or cumulative probability draws (categorical). Supports parallelism across imputed datasets via the future framework. authors: - family-names: Manjourides given-names: Justin email: j.manjourides@northeastern.edu orcid: https://orcid.org/0000-0002-2454-4489 - family-names: Carpenito given-names: Thomas orcid: https://orcid.org/0000-0003-3591-0680 repository: https://justinmanjourides.r-universe.dev repository-code: https://github.com/JustinManjourides/misl commit: fc3e708649de0a2f197d9c9bf4d932c8b07a8f51 url: https://JustinManjourides.github.io/misl date-released: '2026-04-30' contact: - family-names: Manjourides given-names: Justin email: j.manjourides@northeastern.edu orcid: https://orcid.org/0000-0002-2454-4489