Package: tgstat 2.3.28

Aviezer Lifshitz

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>).

Authors:Michael Hoichman [aut], Aviezer Lifshitz [aut, cre]

tgstat_2.3.28.tar.gz

tgstat_2.3.28.tgz(r-4.4-x86_64)tgstat_2.3.28.tgz(r-4.4-arm64)tgstat_2.3.28.tgz(r-4.3-x86_64)tgstat_2.3.28.tgz(r-4.3-arm64)
tgstat_2.3.28.tar.gz(r-4.5-noble)tgstat_2.3.28.tar.gz(r-4.4-noble)
tgstat_2.3.28.tgz(r-4.4-emscripten)tgstat_2.3.28.tgz(r-4.3-emscripten)
tgstat.pdf |tgstat.html✨
tgstat/json (API)
NEWS

# Install 'tgstat' in R:
install.packages('tgstat', repos = c('https://tanaylab.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tanaylab/tgstat/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

algorithms-implementedcorrelationknnstatistics

6.65 score 8 stars 1 packages 23 scripts 355 downloads 9 exports 0 dependencies

Last updated 2 months agofrom:8a2ba127e1. Checks:OK: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 23 2024
R-4.5-linux-x86_64OKNov 23 2024
R-4.4-mac-x86_64OKNov 23 2024
R-4.4-mac-aarch64OKNov 23 2024
R-4.3-mac-x86_64OKNov 23 2024
R-4.3-mac-aarch64OKNov 23 2024

Exports:tgs_cortgs_cor_knntgs_disttgs_finitetgs_graphtgs_graph_covertgs_graph_cover_resampletgs_knntgs_matrix_tapply

Dependencies:

manual

Rendered frommanual.Rmdusingknitr::rmarkdownon Nov 23 2024.

Last update: 2022-11-25
Started: 2022-04-14