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tgstat  

Amos Tanay's Group High Performance Statistical Utilities
View on CRAN: Click here


Download and install tgstat package within the R console
Install from CRAN:
install.packages("tgstat")

Install from Github:
library("remotes")
install_github("cran/tgstat")

Install by package version:
library("remotes")
install_version("tgstat", "2.3.27")



Attach the package and use:
library("tgstat")
Maintained by
Aviezer Lifshitz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-13
Latest Update: 2024-02-15
Description:
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>).
How to cite:
Aviezer Lifshitz (2020). tgstat: Amos Tanay's Group High Performance Statistical Utilities. R package version 2.3.27, https://cran.r-project.org/web/packages/tgstat
Previous versions and publish date:
2.3.10 (2020-07-13 18:10), 2.3.14 (2020-08-19 16:50), 2.3.16 (2020-09-03 00:40), 2.3.17 (2022-04-14 16:00), 2.3.18 (2022-09-29 18:20), 2.3.19 (2022-11-24 13:50), 2.3.21 (2023-01-09 12:30), 2.3.22 (2023-01-24 16:40), 2.3.24 (2023-06-27 13:30), 2.3.25 (2023-11-29 12:30)
Other packages that cited tgstat R package
View tgstat citation profile
Other R packages that tgstat depends, imports, suggests or enhances
Functions, R codes and Examples using the tgstat R package
Some associated functions: tgs_cor . tgs_dist . tgs_finite . tgs_graph . tgs_graph_cover . tgs_graph_cover_resample . tgs_knn . tgs_matrix_tapply . tgstat-package . 
Some associated R codes: cor.R . dist.R . knn.R . matrix.R . tgstat-package.R . utils.R . zzz.R .  Full tgstat package functions and examples
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