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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: 2.3.28
Depends: R (≥ 3.5.0)
Imports: utils
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
OS_type: unix
Published: 2024-09-23
DOI: 10.32614/CRAN.package.tgstat
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
URL: https://tanaylab.github.io/tgstat/
NeedsCompilation: yes
Materials: NEWS
CRAN checks: tgstat results

Documentation:

Reference manual: tgstat.pdf
Vignettes: manual (source, R code)

Downloads:

Package source: tgstat_2.3.28.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): tgstat_2.3.28.tgz, r-oldrel (arm64): tgstat_2.3.28.tgz, r-release (x86_64): tgstat_2.3.28.tgz, r-oldrel (x86_64): tgstat_2.3.28.tgz
Old sources: tgstat archive

Reverse dependencies:

Reverse imports: tglkmeans

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tgstat to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.