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escapeR: Escape Room Adventures for Learning R in Ecological Statistics

A lightweight classroom game where students learn R by solving ecological-statistics puzzles inside a virtual escape room. The package remembers each player's progress, offers hints, and uses tasks inspired by introductory R teaching material, numerical ecology, ecological modelling, and distance sampling.

Version: 0.1.0
Depends: R (≥ 4.0.0)
Imports: tools, utils
Suggests: knitr, rmarkdown, testthat (≥ 3.1.7), withr
Published: 2026-09-27
DOI: 10.32614/CRAN.package.escapeR
Author: Tiago Marques [aut, cre], OpenAI Codex [ctb]
Maintainer: Tiago Marques <tiago.marques at st-andrews.ac.uk>
BugReports: https://github.com/TiagoAMarques/escapeR/issues
License: GPL (≥ 3)
URL: https://github.com/TiagoAMarques/escapeR
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: escapeR results

Documentation:

Reference manual: escapeR.html , escapeR.pdf
Vignettes: Creating themed escape rooms with escapeR (source, R code)
Getting started with escapeR (source, R code)
Make your own room: a simple coursework guide (source, R code)

Downloads:

Package source: escapeR_0.1.0.tar.gz
Windows binaries: r-devel: escapeR_0.1.0.zip, r-release: escapeR_0.1.0.zip, r-oldrel: escapeR_0.1.0.zip
macOS binaries: r-release (arm64): escapeR_0.1.0.tgz, r-oldrel (arm64): escapeR_0.1.0.tgz, r-release (x86_64): escapeR_0.1.0.tgz, r-oldrel (x86_64): escapeR_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=escapeR 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.