Package: MVR Type: Package Title: Mean-Variance Regularization Version: 1.33.0 Date: 2018-09-10 Authors@R: c(person("Jean-Eudes", "Dazard", role = c("aut", "cre"), email = "jean-eudes.dazard@case.edu"), person("Hua", "Xu", role = "ctb", email = "huaxu77@gmail.com"), person("Alberto", "Santana", role = "ctb", email = "ahs4@case.edu")) Author: Jean-Eudes Dazard [aut, cre], Hua Xu [ctb], Alberto Santana [ctb] Maintainer: Jean-Eudes Dazard Description: 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. Depends: R (>= 3.0.2), statmod Imports: parallel, methods NeedsCompilation: yes URL: https://github.com/jedazard/MVR License: GPL (>= 3) | file LICENSE LazyLoad: yes LazyData: yes Archs: i386, x64 Packaged: 2026-10-12 23:14:06 UTC; root Repository: https://cranhaven.r-universe.dev Date/Publication: 2026-10-12 09:02:00 UTC RemoteUrl: https://github.com/cranhaven/cranhaven.r-universe.dev RemoteRef: package/MVR RemoteSha: 76fcd3e5b9fab41e3dd895d3c3d7970f7b0e61d0 RemoteSubdir: MVR