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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>.

Versions across snapshots

VersionRepositoryFileSize
1.1.0 rolling linux/jammy R-4.5 DIRECT_1.1.0.tar.gz 229.8 KiB
1.1.0 rolling linux/noble R-4.5 DIRECT_1.1.0.tar.gz 229.9 KiB
1.1.0 rolling source/ R- DIRECT_1.1.0.tar.gz 120.2 KiB
1.1.0 latest linux/jammy R-4.5 DIRECT_1.1.0.tar.gz 229.8 KiB
1.1.0 latest linux/noble R-4.5 DIRECT_1.1.0.tar.gz 229.9 KiB
1.1.0 latest source/ R- DIRECT_1.1.0.tar.gz 120.2 KiB
1.1.0 2026-04-26 source/ R- DIRECT_1.1.0.tar.gz 120.2 KiB
1.1.0 2026-04-23 source/ R- DIRECT_1.1.0.tar.gz 120.2 KiB
1.1.0 2026-04-09 windows/windows R-4.5 DIRECT_1.1.0.zip 236.2 KiB
1.1.0 2025-04-20 source/ R- DIRECT_1.1.0.tar.gz 120.2 KiB