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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