DIRECT: Bayesian Clustering of Multivariate Data Under the Dirichlet-Process Prior

A Bayesian clustering method for replicated time series or replicated measurements from multiple experimental conditions, e.g., time-course gene expression data. It estimates the number of clusters directly from the data using a Dirichlet-process prior. See 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. <doi:10.1214/13-AOAS650>.

Install the latest version of this package by entering the following in R:
AuthorAudrey Qiuyan Fu, Steven Russell, Sarah J. Bray and Simon Tavare
Date of publication2016-04-01 16:24:39
MaintainerAudrey Q. Fu <>
LicenseGPL (>= 2)

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