Scope | Installation | From measurements to a correlation graph | Selecting correlation edges | Selecting nearest neighbors | Sparse measurements and cross-matrix neighbors | Finite overlap and normalization | Undefined scores | Resource configuration | Session information
This package is considered a duplicate. The official version of this package is found at:https://metaddict.r-universe.dev/bgns
Package: bgns 0.4.3
Aditya Kshirsagar
bgns: Biweight Graph and Network Statistics
Provides memory-efficient biweight midcorrelation and exact bicor-based k-nearest-neighbor graph construction for dense and sparse numeric matrices. Dense, sparse, and mixed-input paths avoid materializing full dense similarity matrices for tidy and k-nearest-neighbor workflows where possible. The implementation supports pairwise finite-overlap handling and robust correlation-based graph construction for biological expression matrices and other high-dimensional numeric data.
Authors:
bgns_0.4.3.tar.gz
bgns_0.4.3.zip(r-4.7-x86_64)bgns_0.4.3.zip(r-4.7-arm64)bgns_0.4.3.zip(r-4.6-x86_64)bgns_0.4.3.zip(r-4.6-arm64)
bgns_0.4.3.tar.gz(r-4.7-arm64)bgns_0.4.3.tar.gz(r-4.7-x86_64)bgns_0.4.3.tar.gz(r-4.6-arm64)bgns_0.4.3.tar.gz(r-4.6-x86_64)
bgns_0.4.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bgns/json (API)
| # Install 'bgns' in R: |
| install.packages('bgns', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/metaddict/bgns/issues
Uses libs:
Last updated from:bc23a53e8c. Checks:10 OK. Indexed: no.
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Biweight Graph and Network Statistics | bgns-package BGNS bgns |
| Robust Biweight Midcorrelation | bicor |
| k-Nearest Neighbors by Biweight Midcorrelation | bicor_knn |