The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
| Version: | 1.33.0 |
| Depends: | R (≥ 3.0.2), statmod |
| Imports: | parallel, methods |
| Published: | 2018-09-10 |
| DOI: | 10.32614/CRAN.package.MVR |
| Author: | Jean-Eudes Dazard [aut, cre], Hua Xu [ctb], Alberto Santana [ctb] |
| Maintainer: | Jean-Eudes Dazard <jean-eudes.dazard at case.edu> |
| License: | GPL (≥ 3) | file LICENSE |
| URL: | https://github.com/jedazard/MVR |
| NeedsCompilation: | yes |
| Citation: | MVR citation info |
| Materials: | README NEWS |
| CRAN checks: | MVR results |
| Reference manual: | MVR.pdf |
| Package source: | MVR_1.33.0.tar.gz |
| Windows binaries: | r-devel: MVR_1.33.0.zip, r-release: MVR_1.33.0.zip, r-oldrel: MVR_1.33.0.zip |
| macOS binaries: | r-release (arm64): MVR_1.33.0.tgz, r-oldrel (arm64): MVR_1.33.0.tgz, r-release (x86_64): MVR_1.33.0.tgz, r-oldrel (x86_64): MVR_1.33.0.tgz |
| Old sources: | MVR archive |
Please use the canonical form https://CRAN.R-project.org/package=MVR to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.