Transforming and Harmonizing CHMS Variables R package chmsflow version 0.1.0 Harmonizes variables from the Canadian Health Measures Survey (CHMS) across cycles 1-6 (2007-2019), producing consistent, analysis-ready variables for use with CHMS data. Recoding is data-driven through metadata tables and applied with recodeflow::rec_with_table() from the 'recodeflow' package. The recoding approach builds on sjmisc::rec() from the 'sjmisc' package (Ludecke 2018) <doi:10.21105/joss.00754>. Software Depends: R (>= 4.1.0) Imports: dplyr, haven, purrr, recodeflow Suggests: DT, kableExtra, knitr, quarto, readr, testthat (>= 3.0.0) Rafidul Islam <raislam@ohri.ca> Comprehensive R Archive Network (CRAN) Rafidul Islam [aut, cre, cph] (ORCID: <https://orcid.org/0009-0008-3072-5623>), Douglas Manuel [aut, cph] (ORCID: <https://orcid.org/0000-0003-0912-0845>), Therese Chan [ctb] (ORCID: <https://orcid.org/0009-0002-2291-7218>), The Ottawa Hospital Research Institute [cph] MIT + file LICENSE (https://CRAN.R-project.org/package=chmsflow/LICENSE) 2026-06-08 application/tgz https://CRAN.R-project.org/package=chmsflow doi:10.32614/CRAN.package.chmsflow