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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:839c1b2f5b. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 153 | ||
| source / vignettes | OK | 197 | ||
| linux-release-x86_64 | OK | 152 | ||
| wasm-release | OK | 111 |
Exports:cv_dirq_coveragedirqmedian_pcorshiny_region
Dependencies:base64encbslibcachemclicodetoolscommonmarkcpp11digestdoParallelfarverfastmapfontawesomeforeachfsggplot2gluegtablehtmltoolshttpuvisobanditeratorsjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMatrixmemoisemgcvmimenlmeotelplyrpromisesqgamR6rappdirsRColorBrewerRcpprlangS7sassscalesshinysourcetoolsspvctrsviridisLitewithrxtable
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Cross-validation evaluation of coverage for a conditional reference region (dirq) | cv_dirq_coverage |
| Fit Directional Quantile Boundary on Residuals Dependent on Covariates | dirq |
| Conditional median and partial correlation model (via QGAM) | median_pcor |
| Plot method for dirq objects | plot.dirq |
| Plot method for median_pcor objects | plot.median_pcor |
| Predict method for dirq objects | predict.dirq |
| Print method for 'dirq' objects | print.dirq |
| Print method for 'median_pcor' objects | print.median_pcor |
| Interactive Shiny App for Visualizing DIRQ Reference Regions | shiny_region |