produce a matrix containing the BIC value for each lambda and K;
the rows correspond to the lambda (vector) and the columns correspond to the
K latent variables.
getDevR
produce a matrix containing the deviance ratio for each lambda and K;
the rows correspond to the lambda (vector) and the columns correspond to the
K latent variables.
getClusters
produce a matrix containing the cluster assigments
for the samples under each K; the rows correspond to the samples;
the columns correspond to the K latent variables.
iManual
Open the iClusterPlus User's Guide.
References
Qianxing Mo, Sijian Wang, Venkatraman E. Seshan, Adam B. Olshen, Nikolaus Schultz, Chris Sander, R. Scott Powers, Marc Ladanyi, and Ronglai Shen. (2012).
Pattern discovery and cancer gene identification in integrated cancer genomic data.
Proc. Natl. Acad. Sci. USA (invited revision).