The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

influential: Identification and Classification of the Most Influential Nodes

Contains functions for the classification and ranking of top candidate features, reconstruction of networks from adjacency matrices and data frames, analysis of the topology of the network and calculation of centrality measures, and identification of the most influential nodes. Also, a function is provided for running SIRIR model, which is the combination of leave-one-out cross validation technique and the conventional SIR model, on a network to unsupervisedly rank the true influence of vertices. Additionally, some functions have been provided for the assessment of dependence and correlation of two network centrality measures as well as the conditional probability of deviation from their corresponding means in opposite direction. Fred Viole and David Nawrocki (2013, ISBN:1490523995). Csardi G, Nepusz T (2006). "The igraph software package for complex network research." InterJournal, Complex Systems, 1695. Adopted algorithms and sources are referenced in function document.

Version: 2.2.9
Depends: R (≥ 2.10)
Imports: igraph, janitor, ranger, coop, foreach, doParallel, data.table, ggplot2, BiocManager
Suggests: Hmisc (≥ 4.3-0), mgcv (≥ 1.8-31), nortest (≥ 1.0-4), NNS (≥ 0.4.7.1), readr, parallel, shiny, shinythemes, shinyWidgets, shinyjs, shinycssloaders, colourpicker, magrittr, DT, knitr, rmarkdown
Published: 2023-12-09
DOI: 10.32614/CRAN.package.influential
Author: Abbas (Adrian) Salavaty [aut, cre], Mirana Ramialison [ths], Peter D. Currie [ths]
Maintainer: Adrian Salavaty <abbas.salavaty at gmail.com>
BugReports: https://github.com/asalavaty/influential/issues
License: GPL-3
URL: https://github.com/asalavaty/influential, https://asalavaty.github.io/influential/
NeedsCompilation: no
Language: en-US
Citation: influential citation info
Materials: README NEWS
CRAN checks: influential results

Documentation:

Reference manual: influential.pdf
Vignettes: Introduction to influential

Downloads:

Package source: influential_2.2.9.tar.gz
Windows binaries: r-devel: influential_2.2.9.zip, r-release: influential_2.2.9.zip, r-oldrel: influential_2.2.9.zip
macOS binaries: r-release (arm64): influential_2.2.9.tgz, r-oldrel (arm64): influential_2.2.9.tgz, r-release (x86_64): influential_2.2.9.tgz, r-oldrel (x86_64): influential_2.2.9.tgz
Old sources: influential archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=influential to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.