Package: ES 1.1

Sanjay Chaudhuri

ES: Edge Selection

Implementation of the Edge Selection Algorithm for undirected graph selection. The least angle regression-based algorithm selects edges of an undirected graph based on the projection of the current residuals on the two dimensional edge-planes. The algorithm selects symmetric adjacency matrix, which many other regression-based undirected graph selection procedures cannot do.

Authors:Sanjay Chaudhuri [aut, cre], Victor Meng Hui [aut]

ES_1.1.tar.gz
ES_1.1.tar.gz(r-4.7-any)ES_1.1.tar.gz(r-4.6-any)
ES_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ES/json (API)

# Install 'ES' in R:
install.packages('ES', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • marks - Mathematics Marks

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.73 score 54 scripts 401 downloads 323 mentions 9 exports 0 dependencies

Last updated from:4a3b82c337. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK99
source / vignettesOK139
linux-release-x86_64OK98
wasm-releaseOK81

Exports:block_crossblock_multipleblock_solvecreate.tagscv.ESESESpredictMPinversescaledata

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Edge Selection for Undirected GraphsES-package
Edge Selection with Cross validationcv.ES
Edge Selection Algorithmblock_cross block_multiple block_solve create.tags ES MPinverse scaledata
ESpredictESpredict
Mathematics Marksmarks