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MVR
View on CRAN: Click
here
Download and install MVR package within the R console
Install from CRAN:
install.packages("MVR")
Install from Github:
library("remotes")
install_github("cran/MVR")
Install by package version:
library("remotes")
install_version("MVR", "1.33.0")
Attach the package and use:
library("MVR")
Maintained by
Jean-Eudes Dazard
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-07-26
Latest Update: 2018-09-10
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.
How to cite:
Jean-Eudes Dazard (2011). MVR: Mean-Variance Regularization. R package version 1.33.0, https://cran.r-project.org/web/packages/MVR. Accessed 01 Feb. 2025.
Previous versions and publish date:
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Other R packages that MVR depends,
imports, suggests or enhances
Complete documentation for MVR
Functions, R codes and Examples using
the MVR R package
Some associated functions: MVR-package . MVR.news . Real-data . Synthetic-data . cluster.diagnostic . mvr . mvrt.test . normalization.diagnostic . stabilization.diagnostic . target.diagnostic .
Some associated R codes: Full MVR package functions and examples
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