PAC: Partition-Assisted Clustering

Implements Partition-Assisted Clustering, which utilizes a collection of partition based nonparametric density estimation techniques to improve the robustness and accuracy of downstream clustering. The package also provides functions for effectively visualizing the clustering results. It is particularly useful for finding and visualizing subpopulations in single-cell data analysis.

Version: 1.0.5
Imports: Rcpp (≥ 0.12.2), NMF, RJSONIO, data.table, dplyr
LinkingTo: Rcpp
Suggests: knitr
Published: 2016-04-10
Author: Dangna Li, Henry Li
Maintainer: Dangna Li <ldangna at>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++11
CRAN checks: PAC results


Reference manual: PAC.pdf
Vignettes: Using the PAC package
Package source: PAC_1.0.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: PAC_1.0.5.tgz, r-oldrel: PAC_1.0.5.tgz
Old sources: PAC archive


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