tgstat: Amos Tanay's Group High Performance Statistical Utilities

A collection of high performance utilities to compute distance, correlation, auto correlation, clustering and other tasks. Contains graph clustering algorithm described in "MetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions" (Yael Baran, Akhiad Bercovich, Arnau Sebe-Pedros, Yaniv Lubling, Amir Giladi, Elad Chomsky, Zohar Meir, Michael Hoichman, Aviezer Lifshitz & Amos Tanay, 2019 <doi:10.1186/s13059-019-1812-2>).

Version: 2.3.19
Depends: R (≥ 3.5.0)
Imports: utils
Suggests: knitr, rmarkdown
OS_type: unix
Published: 2022-11-24
Author: Michael Hoichman [aut], Aviezer Lifshitz [aut, cre]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz at weizmann.ac.il>
BugReports: https://github.com/tanaylab/tgstat/issues
License: GPL-2
NeedsCompilation: yes
SystemRequirements: C++11
Materials: NEWS
CRAN checks: tgstat results

Documentation:

Reference manual: tgstat.pdf
Vignettes: manual

Downloads:

Package source: tgstat_2.3.19.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): tgstat_2.3.19.tgz, r-oldrel (arm64): tgstat_2.3.19.tgz, r-release (x86_64): tgstat_2.3.19.tgz, r-oldrel (x86_64): tgstat_2.3.19.tgz
Old sources: tgstat archive

Reverse dependencies:

Reverse imports: tglkmeans

Linking:

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