chmsflow: Transforming and Harmonizing CHMS Variables

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>.

Version:	0.1.0
Depends:	R (≥ 4.1.0)
Imports:	dplyr, haven, purrr, recodeflow
Suggests:	DT, kableExtra, knitr, quarto, readr, testthat (≥ 3.0.0)
Published:	2026-06-08
DOI:	10.32614/CRAN.package.chmsflow
Author:	Rafidul Islam [aut, cre, cph], Douglas Manuel [aut, cph], Therese Chan [ctb], The Ottawa Hospital Research Institute [cph]
Maintainer:	Rafidul Islam <raislam at ohri.ca>
BugReports:	https://github.com/Big-Life-Lab/chmsflow/issues
License:	MIT + file LICENSE
URL:	https://github.com/Big-Life-Lab/chmsflow, https://big-life-lab.github.io/chmsflow/
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	chmsflow results

Documentation:

Reference manual:	chmsflow.html , chmsflow.pdf
Vignettes:	Analysis walkthrough: hypertension prevalence (source, R code) Derived variables (source, R code) Get started (source, R code) How to add variables to chmsflow (source, R code) Methodology (source) Recoding CHMS medication variables (source, R code) Missing data (tagged_na) (source, R code) Using chmsflow at an RDC (source, R code) Variable schema reference (source, R code)

Downloads:

Package source:	chmsflow_0.1.0.tar.gz
Windows binaries:	r-devel: chmsflow_0.1.0.zip, r-release: chmsflow_0.1.0.zip, r-oldrel: chmsflow_0.1.0.zip
macOS binaries:	r-release (arm64): chmsflow_0.1.0.tgz, r-oldrel (arm64): chmsflow_0.1.0.tgz, r-release (x86_64): chmsflow_0.1.0.tgz, r-oldrel (x86_64): chmsflow_0.1.0.tgz

Linking:

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