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refreg  

Conditional Multivariate Reference Regions
View on CRAN: Click here


Download and install refreg package within the R console
Install from CRAN:
install.packages("refreg")

Install from Github:
library("remotes")
install_github("cran/refreg")

Install by package version:
library("remotes")
install_version("refreg", "0.1.1")



Attach the package and use:
library("refreg")
Maintained by
Oscar Lado-Baleato
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-02
Latest Update: 2022-04-18
Description:
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 and .
How to cite:
Oscar Lado-Baleato (2021). refreg: Conditional Multivariate Reference Regions. R package version 0.1.1, https://cran.r-project.org/web/packages/refreg. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.1.0 (2021-07-02 09:10)
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Complete documentation for refreg
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