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Provides tools for constructing conditional two-dimensional reference regions in continuous data, particularly suited for clinical, biological, or epidemiological studies requiring robust multivariate assessment. The implemented methodology combines directional quantiles with median‑based partial correlation models to produce reliable and interpretable reference regions even in the presence of outliers. Key features include robust conditional modeling for two responses conditioned on covariates, directional quantile regions, cross‑validation of coverage, visualization tools, and flexible formula‑based inputs.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | qgam, mgcv, sp, ggplot2, scales, shiny |
| Suggests: | refreg |
| Published: | 2026-03-30 |
| DOI: | 10.32614/CRAN.package.TwoDiRef |
| Author: | Oscar Lado-Baleato [aut, cre], Sara Rodriguez-Pastoriza [aut], Javier Roca-Pardinas [aut] |
| Maintainer: | Oscar Lado-Baleato <ladooscar at uniovi.es> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | TwoDiRef results |
| Reference manual: | TwoDiRef.html , TwoDiRef.pdf |
| Package source: | TwoDiRef_0.1.0.tar.gz |
| Windows binaries: | r-devel: TwoDiRef_0.1.0.zip, r-release: TwoDiRef_0.1.0.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): TwoDiRef_0.1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): TwoDiRef_0.1.0.tgz, r-oldrel (x86_64): TwoDiRef_0.1.0.tgz |
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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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