{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/projection-predictive-variable-selection","title":"Projection predictive variable selection using Stan+R","arxiv_id":"1508.02502","date":"2015-08-11","proceeding":null,"authors":["Juho Piironen","Aki Vehtari"],"abstract":"This document is additional material to our previous study comparing several strategies for variable subset selection. Our recommended approach was to fit the full model with all the candidate variables and best possible prior information, and perform the variable selection using the projection predictive framework. Here we give an example of performing such an analysis, using Stan for fitting the model, and R for the variable selection.","url_abs":"http://arxiv.org/abs/1508.02502v1","url_pdf":"http://arxiv.org/pdf/1508.02502v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"projection-predictive-variable-selection","repo_url":"https://github.com/jtpi/rstan-varsel","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"projection-predictive-variable-selection","repo_url":"https://github.com/to-mi/stan-survival-shrinkage","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}