MVR

Package: MVR
Type: Package
Title: Mean-Variance Regularization
Version: 1.30.3
Date: 2016-01-28
Authors@R: c(person("Jean-Eudes", "Dazard",
role = c("aut", "cre"),
email = "jxd101@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 <jxd101@case.edu>
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), parallel, statmod
Imports: graphics, grDevices, methods, stats
URL: https://github.com/jedazard/MVR
Repository: CRAN
License: GPL (>= 3) | file LICENSE
LazyLoad: yes
LazyData: yes
Archs: i386, x64
Packaged: 2016-01-28 17:50:04 UTC; jxd101
NeedsCompilation: yes
Date/Publication: 2016-01-28 20:57:12

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'MVR' ...
** package 'MVR' successfully unpacked and MD5 sums checked
** libs
g++ -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c MVRc.cpp -o MVRc.o
g++ -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o MVR.so MVRc.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/MVR/libs
** R
** data
*** moving datasets to lazyload DB
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'MVR'
    finding HTML links ... done
    MVR-package                             html  
    MVR.news                                html  
    Real-data                               html  
    Synthetic-data                          html  
    cluster.diagnostic                      html  
    mvr                                     html  
    mvrt.test                               html  
    normalization.diagnostic                html  
    stabilization.diagnostic                html  
    target.diagnostic                       html  
** building package indices
** testing if installed package can be loaded
* DONE (MVR)
Making 'packages.html' ... done