Package: TwoDiRef 0.1.0

Oscar Lado-Baleato

TwoDiRef: Robust Estimation of Conditional 2D Reference Regions

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.

Authors:Oscar Lado-Baleato [aut, cre], Sara Rodriguez-Pastoriza [aut], Javier Roca-Pardinas [aut]

TwoDiRef_0.1.0.tar.gz
TwoDiRef_0.1.0.tar.gz(r-4.7-any)TwoDiRef_0.1.0.tar.gz(r-4.6-any)
TwoDiRef_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
TwoDiRef/json (API)

# Install 'TwoDiRef' in R:
install.packages('TwoDiRef', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 149 downloads 4 exports 52 dependencies

Last updated from:839c1b2f5b. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK153
source / vignettesOK197
linux-release-x86_64OK152
wasm-releaseOK111

Exports:cv_dirq_coveragedirqmedian_pcorshiny_region

Dependencies:base64encbslibcachemclicodetoolscommonmarkcpp11digestdoParallelfarverfastmapfontawesomeforeachfsggplot2gluegtablehtmltoolshttpuvisobanditeratorsjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMatrixmemoisemgcvmimenlmeotelplyrpromisesqgamR6rappdirsRColorBrewerRcpprlangS7sassscalesshinysourcetoolsspvctrsviridisLitewithrxtable