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:

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