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.zip(r-4.7-any)TwoDiRef_0.1.0.zip(r-4.6-any)
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✨
DESCRIPTION
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 213 downloads 4 exports 52 dependencies

Last updated from:839c1b2f5b. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK142
source / vignettesOK206
linux-releaseOK144
windows-develOK117
windows-releaseOK108
wasm-releaseOK113

Exports:cv_dirq_coveragedirqmedian_pcorshiny_region

Dependencies:base64encbslibcachemclicodetoolscommonmarkcpp11digestdoParallelfarverfastmapfontawesomeforeachfsggplot2gluegtablehtmltoolshttpuvisobanditeratorsjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMatrixmemoisemgcvmimenlmeotelplyrpromisesqgamR6rappdirsRColorBrewerRcpprlangS7sassscalesshinysourcetoolsspvctrsviridisLitewithrxtable