smart-package: Sparse Multivariate Analysis via Rank Transformation
In smart: Sparse Multivariate Analysis via Rank Transformation
Description
Details
Author(s)
References
See Also
Description
A package for Sparse Multivariate Analysis via Rank Transformation
Details
Package: smart
Type: Package
Version: 1.0.0
Date: 2012-08-17
License: GPL-2
LazyLoad: yes
The package "smart" contain three main functions:
(i) "gnsc.train" and "gnsc.cv" for conducting Group Nearest Shrunken Centroids.
(ii) "TCA" for conducting Transeeliptical Component Analysis.
(iii) "TCE" for conducting Transellipitcal Correlation Estimation.
Author(s)
Fang Han, Han Liu
Maintainer: Fang Han<fhan@jhsph.edu>
References
1.Robert Tibshirani, Trevor Hastie, Balasubramanian Narasimhan, and Gilbert Chu. Diagnosis of multiple cancer types by shrunken centroids of gene expression PNAS, 99: 6567-6572.
2. Han Liu, Fang Han, Ming Yuan, John Lafferty, Larry Wasserman. High dimensional
semiparametric gaussian copula graphical models. Annals of Statistics, to apear.
3. Witten, D., Tibshirani, R., and Hastie, T., A penalized matrix decomposition, with
applications to sparse principal components and canonical correlation analysis. Biostatistics
4.Juemin Yang, Fang Han, Rafa Irizarry, and Han Liu. Gene Context Analysis on Large-scale Genomic Data. Technical Report, Johns Hopkins University, 2012
5. Yuan, X. and Zhang, T. (2011). Truncated power method for sparse eigenvalue problems. Techinal Report,
Rutgers, 2011.
6.Tuo Zhao and Han Liu. HUGE: A Package for High-dimensional Undirected Graph Estimation. Technical Report, Carnegie Mellon University, 2010
7. Zou, H., Hastie, T. and Tibshirani, R. Sparse principal component analysis. JCGS, 2006.
See Also
TCA, TCE, gnsc.train, and gnsc.cv
smart documentation built on May 29, 2017, 8:58 p.m.
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Description Details Author(s) References See Also
Description
A package for Sparse Multivariate Analysis via Rank Transformation
Details
| Package: | smart |
| Type: | Package |
| Version: | 1.0.0 |
| Date: | 2012-08-17 |
| License: | GPL-2 |
| LazyLoad: | yes |
The package "smart" contain three main functions:
(i) "gnsc.train" and "gnsc.cv" for conducting Group Nearest Shrunken Centroids.
(ii) "TCA" for conducting Transeeliptical Component Analysis.
(iii) "TCE" for conducting Transellipitcal Correlation Estimation.
Author(s)
Fang Han, Han Liu
Maintainer: Fang Han<fhan@jhsph.edu>
References
1.Robert Tibshirani, Trevor Hastie, Balasubramanian Narasimhan, and Gilbert Chu. Diagnosis of multiple cancer types by shrunken centroids of gene expression PNAS, 99: 6567-6572.
2. Han Liu, Fang Han, Ming Yuan, John Lafferty, Larry Wasserman. High dimensional
semiparametric gaussian copula graphical models. Annals of Statistics, to apear.
3. Witten, D., Tibshirani, R., and Hastie, T., A penalized matrix decomposition, with
applications to sparse principal components and canonical correlation analysis. Biostatistics
4.Juemin Yang, Fang Han, Rafa Irizarry, and Han Liu. Gene Context Analysis on Large-scale Genomic Data. Technical Report, Johns Hopkins University, 2012
5. Yuan, X. and Zhang, T. (2011). Truncated power method for sparse eigenvalue problems. Techinal Report,
Rutgers, 2011.
6.Tuo Zhao and Han Liu. HUGE: A Package for High-dimensional Undirected Graph Estimation. Technical Report, Carnegie Mellon University, 2010
7. Zou, H., Hastie, T. and Tibshirani, R. Sparse principal component analysis. JCGS, 2006.
See Also
TCA, TCE, gnsc.train, and gnsc.cv
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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