This is a nonparametric method for joint adaptive meanvariance regularization and variance stabilization of highdimensional data. It is suited for handling difficult problems posed by highdimensional multivariate datasets (p >> n paradigm). Among those are that the variance is often a function of the mean, variablespecific 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 meanvarianceregularized tstatistics (Fstatistics 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.
Package details 


Author  JeanEudes Dazard [aut, cre], Hua Xu [ctb], Alberto Santana [ctb] 
Date of publication  20170529 13:17:08 UTC 
Maintainer  JeanEudes Dazard <jeaneudes.dazard@case.edu> 
License  GPL (>= 3)  file LICENSE 
Version  1.32.0 
URL  https://github.com/jedazard/MVR 
Package repository  View on CRAN 
Installation 
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