Mean-Variance Regularization R package MVR version 1.33.0 This is a non-parametric method for joint adaptive mean-variance regularization and variance stabilization of high-dimensional data. It is suited for handling difficult problems posed by high-dimensional multivariate datasets (p >> n paradigm). Among those 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. Key features include: (i) Normalization and/or variance stabilization of the data, (ii) Computation of mean-variance-regularized t-statistics (F-statistics to follow), (iii) Generation of diverse diagnostic plots, (iv) Computationally efficient implementation using C/C++ interfacing and an option for parallel computing to enjoy a faster and easier experience in the R environment. Software Depends: R (>= 3.0.2), statmod Imports: parallel, methods Jean-Eudes Dazard <jean-eudes.dazard@case.edu> Comprehensive R Archive Network (CRAN) Jean-Eudes Dazard [aut, cre], Hua Xu [ctb], Alberto Santana [ctb] GPL (>= 3) file LICENSE (https://CRAN.R-project.org/package=MVR/LICENSE) 2018-09-10 application/tgz https://CRAN.R-project.org/package=MVR doi:10.32614/CRAN.package.MVR