Package: refreg 0.1.1
Oscar Lado-Baleato
refreg: Conditional Multivariate Reference Regions
An R package for estimating conditional multivariate reference regions. The reference region is non parametrically estimated using a kernel density estimator. Covariates effects on the multivariate response means vector and variance-covariance matrix, thus on the region shape, are estimated by flexible additive predictors. Continuous covariates non linear effects might be estimated using penalized splines smoothers. Confidence intervals for the covariates estimated effects might be derived from bootstrap resampling. Kernel density bandwidth can be estimated with different methods, including a method that optimize the region coverage. Numerical, and graphical, summaries can be obtained by the user in order to evaluate reference region performance with real data. Full mathematical details can be found in <doi:10.1002/sim.9163> and <doi:10.1007/s00477-020-01901-1>.
Authors:
refreg_0.1.1.tar.gz
refreg_0.1.1.tar.gz(r-4.5-noble)refreg_0.1.1.tar.gz(r-4.4-noble)
refreg_0.1.1.tgz(r-4.4-emscripten)refreg_0.1.1.tgz(r-4.3-emscripten)
refreg.pdf |refreg.html✨
refreg/json (API)
| # Install 'refreg' in R: |
| install.packages('refreg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- aegis - A Estrada Glycation and Inflammation Study (AEGIS) Data
- pollution - SO2 and Nox concentrations
- pollution_episode - SO2 and Nox concentrations during a pollution episode
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:40eed0780a. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 14 2024 |
| R-4.5-linux | OK | Nov 14 2024 |
Exports:ACEbivRegionbivRegrHcovrefcurvsummary_boottrivRegiontrivRegr
Dependencies:base64encbslibcachemclicodetoolscolorspacedigestdoParallelevaluatefansifarverfastmapFNNfontawesomeforeachfsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonlitekernlabKernSmoothknitrkslabelinglatticelifecyclemagrittrMASSMatrixmatrixcalcmbendmclustmemoisemgcvmimemisc3dmulticoolmunsellmvtnormnlmepillarpkgconfigpracmaR6rappdirsRColorBrewerRcpprglrlangrmarkdownsassscalesspstringistringrtibbletinytexutf8vctrsviridisLitewithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Alternating Conditional Expectation (ACE) algorithm | ACE |
| A Estrada Glycation and Inflammation Study (AEGIS) Data | aegis |
| Bivariate reference region estimation | bivRegion |
| Bivariate regression model | bivRegr |
| Kernel bandwidth selection method based on bivariate density contours coverage | Hcov |
| Plot a bivRegion object | plot.bivRegion |
| Plot method for bivRegr fit | plot.bivRegr |
| Plot univariate conditional quantile models curves (i.e. reference curves) | plot.refcurve |
| Default summary_boot plotting | plot.summary_boot |
| Default trivRegion plotting | plot.trivRegion |
| SO2 and Nox concentrations | pollution |
| SO2 and Nox concentrations during a pollution episode | pollution_episode |
| Prediction for a bivRegion object | predict.bivRegion |
| Predict method for bivRegr | predict.bivRegr |
| Univariate reference curve model | refcurv |
| bivRegr summary function | summary_boot |
| bivRegion summary method | summary.bivRegion |
| Trivariate reference region estimation | trivRegion |
| Trivariate regression model | trivRegr |