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toolero: A Toolkit for Research Workflows

Provides utility functions to help researchers implement best practices for their coding projects. Includes tools for reading and cleaning data files, initializing R projects with a standard folder structure, creating Quarto documents from a reproducible template, detecting the execution context across interactive, Quarto, and script-based workflows, and splitting data frames into group-level output files.

Version: 0.2.0
Depends: R (≥ 4.2.0)
Imports: cli, fs, glue, janitor, purrr, readr, renv, tibble, usethis, yaml
Suggests: knitr, rmarkdown, spelling, testthat (≥ 3.0.0), withr
Published: 2026-04-24
DOI: 10.32614/CRAN.package.toolero
Author: Erwin Lares ORCID iD [aut, cre]
Maintainer: Erwin Lares <erwin.lares at wisc.edu>
BugReports: https://github.com/erwinlares/toolero/issues
License: MIT + file LICENSE
URL: https://github.com/erwinlares/toolero, https://erwinlares.github.io/toolero/
NeedsCompilation: no
Language: en-US
Citation: toolero citation info
Materials: README, NEWS
CRAN checks: toolero results

Documentation:

Reference manual: toolero.html , toolero.pdf
Vignettes: Getting started with toolero (source, R code)

Downloads:

Package source: toolero_0.2.0.tar.gz
Windows binaries: r-release: toolero_0.2.0.zip, r-oldrel: toolero_0.2.0.zip
macOS binaries: r-release (arm64): toolero_0.2.0.tgz, r-oldrel (arm64): toolero_0.2.0.tgz, r-release (x86_64): toolero_0.2.0.tgz, r-oldrel (x86_64): toolero_0.2.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=toolero to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.