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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>.
Getting started
Browse package contents
Package details |
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| Author | Audrey Qiuyan Fu, Steven Russell, Sarah J. Bray and Simon Tavare |
| Maintainer | Audrey Q. Fu <audreyqyfu@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.1.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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