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:Oscar Lado-Baleato [cre, aut], Javier Roca-Pardinas [aut, ctb], Carmen Cadarso-Suarez [aut, ths], Gude Francisco [aut, ths]

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'))

Peer review:

Datasets:
  • 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.

1.00 score 4 scripts 185 downloads 8 exports 71 dependencies

Last updated 3 years agofrom:40eed0780a. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 14 2024
R-4.5-linuxOKDec 14 2024

Exports:ACEbivRegionbivRegrHcovrefcurvsummary_boottrivRegiontrivRegr

Dependencies:base64encbslibcachemclicodetoolscolorspacedigestdoParallelevaluatefansifarverfastmapFNNfontawesomeforeachfsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonlitekernlabKernSmoothknitrkslabelinglatticelifecyclemagrittrMASSMatrixmatrixcalcmbendmclustmemoisemgcvmimemisc3dmulticoolmunsellmvtnormnlmepillarpkgconfigpracmaR6rappdirsRColorBrewerRcpprglrlangrmarkdownsassscalesspstringistringrtibbletinytexutf8vctrsviridisLitewithrxfunyaml