DIRECT-package: Bayesian Clustering of Multivariate Data with the...

Description Details Author(s) References See Also Examples

Description

This package implements the Bayesian clustering method in Fu et al. (2013). It also contains a simulation function to generate data under the random-effects mixture model presented in this paper, as well as summary and plotting functions to process MCMC samples and display the clustering results. Replicated time-course microarray gene expression data analyzed in this paper are in tc.data.

Details

This package three sets of functions.

Package: DIRECT
Type: Package
Version: 1.0
Date: 2011-10-19
License: GPL (>=2)
LazyLoad: yes

See DIRECT for details on using the function for clustering.

See summaryDIRECT, which points to other related plotting functions, for details on how to process MCMC samples and display clustering results.

See simuDataREM, which points to other related functions, for simulating data under the random-effects mixture model.

Author(s)

Audrey Qiuyan Fu

Maintainer: Audrey Q. Fu <[email protected]>

References

Fu, A. Q., Russell, S., Bray, S. and Tavare, S. (2013) Bayesian clustering of replicated time-course gene expression data with weak signals. The Annals of Applied Statistics. 7(3) 1334-1361.

See Also

DIRECT for the clustering method.

summaryDIRECT for processing MCMC estimates for clustering.

simuDataREM for simulating data under the mixture random-effects model.

Examples

1
## See examples in DIRECT and simuDataREM.

DIRECT documentation built on May 1, 2019, 8:08 p.m.