title: R package MVR for Joint Adaptive Mean-Variance Regularization and Variance Stabilization.
abstract: We present an implementation in the R language for statistical computing of our recent non-parametric joint adaptive mean-variance regularization and variance stabilization procedure. The method is specifically suited for handling difficult problems posed by high-dimensional multivariate datasets (p≫nparadigm), such as in 'omics'-type data, among which are that the variance is often a function of the mean, variable-specific estimators of variances are not reliable, and tests statistics have low powers due to a lack of degrees of freedom. The implementation offers a complete set of features including: (i) normalization and/or variance stabilization function, (ii) computation of mean-variance-regularizedtandFstatistics, (iii) generation of diverse diagnostic plots, (iv) synthetic and real 'omics' test datasets, (v) computationally efficient implementation, using C interfacing, and an option for parallel computing, (vi) manual and documentation on how to setup a cluster. To make each feature as user-friendly as possible, only one subroutine per functionality is to be handled by the end-user. It is available as an R package, called MVR ('Mean-Variance Regularization'), downloadable from the CRAN.
authors.affiliation: Division of Bioinformatics, Center for Proteomics and Bioinformatics, Case Western Reserve University. Cleveland, OH 44106, USA.
authors.forename: Jean-Eudes
authors.initials: JE
authors.lastname: Dazard
authors.affiliation: Division of Bioinformatics, Center for Proteomics and Bioinformatics, Case Western Reserve University. Cleveland, OH 44106, USA.
authors.forename: Hua
authors.initials: H
authors.lastname: Xu
authors.affiliation: Division of Biostatistics, Dept. of Epidemiology and Public Health, The University of Miami. Miami, FL 33136, USA.
authors.forename: J Sunil
authors.initials: JS
authors.lastname: Rao
keywords: High-Dimensional Data; Mean-Variance Estimation; Parallel Programming; R package; Regularization and Variance Stabilization; Regularized Test-statistics
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