smart (version 1.0.1)

smart-package: Sparse Multivariate Analysis via Rank Transformation

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.

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