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janusplot: Asymmetric Smoothed-Association Matrices via GAM Fits

Render a pairwise, asymmetric smoothed-association matrix of continuous variables. Each cell shows the fitted spline from an 'mgcv' generalised additive model, with the upper triangle displaying 'gam(x_j ~ s(x_i))' and the lower triangle 'gam(x_i ~ s(x_j))'. Unlike Pearson's correlation matrix, the visualisation is intentionally asymmetric, revealing heteroscedasticity, leverage, and directional non-linearity that a single scalar correlation hides. An asymmetry index and a 24-category shape taxonomy quantify the directional difference and qualitative form of each fitted smooth.

Version: 0.1.0
Depends: R (≥ 4.3.0)
Imports: mgcv (≥ 1.9.0), ggplot2 (≥ 3.5.0), patchwork (≥ 1.1.0), grid, stats, cli (≥ 3.6.0), lifecycle, rlang (≥ 1.1.0)
Suggests: agridat, future, future.apply, knitr, MASS, palmerpenguins, rmarkdown, testthat (≥ 3.0.0), vdiffr (≥ 1.0.0), withr
Published: 2026-04-28
DOI: 10.32614/CRAN.package.janusplot
Author: Max Moldovan ORCID iD [aut, cre, cph]
Maintainer: Max Moldovan <max.moldovan at adelaide.edu.au>
BugReports: https://github.com/max578/janusplot/issues
License: GPL (≥ 3)
URL: https://github.com/max578/janusplot, https://max578.github.io/janusplot/
NeedsCompilation: no
Language: en-AU
Citation: janusplot citation info
Materials: README, NEWS
CRAN checks: janusplot results

Documentation:

Reference manual: janusplot.html , janusplot.pdf
Vignettes: Asymmetric Smoothed-Association Matrices (source, R code)
Shape-recognition sensitivity study (source, R code)

Downloads:

Package source: janusplot_0.1.0.tar.gz
Windows binaries: r-devel: janusplot_0.1.0.zip, r-release: janusplot_0.1.0.zip, r-oldrel: janusplot_0.1.0.zip
macOS binaries: r-release (arm64): janusplot_0.1.0.tgz, r-oldrel (arm64): janusplot_0.1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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