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:10.1007/s00477-020-01901-1>.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: ks, KernSmooth, mgcv, gridExtra, ggplot2, RColorBrewer, sp, stringr, foreach, doParallel, pracma, misc3d, rgl, mbend, matrixcalc
Published: 2021-07-02
Author: Óscar Lado-Baleato [cre, aut], Javier Roca-Pardiñas [aut, ctb], Carmen Cadarso-Suárez [aut, ths], Gude Francisco [aut, ths]
Maintainer: Óscar Lado-Baleato <oscarlado.baleato at usc.es>
License: GPL-2
NeedsCompilation: no
CRAN checks: refreg results

Downloads:

Reference manual: refreg.pdf
Package source: refreg_0.1.0.tar.gz
Windows binaries: r-devel: refreg_0.1.0.zip, r-release: refreg_0.1.0.zip, r-oldrel: refreg_0.1.0.zip
macOS binaries: r-release (arm64): not available, r-release (x86_64): refreg_0.1.0.tgz, r-oldrel: refreg_0.1.0.tgz

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