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>.
| Version: | 1.1.0 | 
| Published: | 2023-09-07 | 
| DOI: | 10.32614/CRAN.package.DIRECT | 
| Author: | Audrey Qiuyan Fu, Steven Russell, Sarah J. Bray and Simon Tavare | 
| Maintainer: | Audrey Q. Fu  <audreyqyfu at gmail.com> | 
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] | 
| NeedsCompilation: | yes | 
| In views: | Bayesian | 
| CRAN checks: | DIRECT results | 
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