Package: MVR
Type: Package
Title: Mean-Variance Regularization
Version: 1.34.0
Date: 2020-10-23
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 <jean-eudes.dazard@case.edu>
Description: Implements 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 (>= 3.5.0)
Imports: parallel, methods, statmod
NeedsCompilation: yes
URL: https://github.com/jedazard/MVR
License: GPL (>= 3) | file LICENSE
Archs: i386, x64
Repository: https://jedazard.r-universe.dev
Date/Publication: 2025-04-28 15:08:45 UTC
RemoteUrl: https://github.com/jedazard/mvr
RemoteRef: HEAD
RemoteSha: 4fa983ea0fbd2c8c683f2c04495f241fc16e8539
Packaged: 2026-06-17 11:01:51 UTC; root