Package: netcutter 0.3.1

netcutter: Identification and Analysis of Co-Occurrence Networks

Implementation of the NetCutter algorithm described in Müller and Mancuso (2008) <doi:10.1371/journal.pone.0003178>. The package identifies co-occurring terms in a list of containers. For example, it may be used to detect genes that co-occur across genomes.

Authors:Heiko Müller [aut], Francesco Mancuso [aut], Federico Marotta [cre]

netcutter_0.3.1.tar.gz
netcutter_0.3.1.zip(r-4.7-any)netcutter_0.3.1.zip(r-4.6-any)netcutter_0.3.1.zip(r-4.5-any)
netcutter_0.3.1.tgz(r-4.6-any)netcutter_0.3.1.tgz(r-4.5-any)
netcutter_0.3.1.tar.gz(r-4.7-any)netcutter_0.3.1.tar.gz(r-4.6-any)
netcutter_0.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
netcutter/json (API)

# Install 'netcutter' in R:

install.packages('netcutter', repos = c('https://fmarotta.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/fmarotta/netcutter/issues

On CRAN:

3.70 score 4 scripts 304 downloads 2 exports 3 dependencies

Last updated from:1a2027310a. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	168
source / vignettes	OK	195
linux-release	OK	137
macos-release	OK	99
macos-oldrel	OK	112
windows-devel	OK	75
windows-release	OK	67
windows-oldrel	OK	78
wasm-release	OK	97

Exports:nc_eval nc_occ_probs

Dependencies:PoissonBinomial Rcpp rlecuyer

netcutter

Rendered fromnetcutter.Rmdusingknitr::rmarkdown

Last update: 2025-05-19
Started: 2023-07-31

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Define co-occurrence modules	nc_define_modules
Compute co-occurrence probabilities	nc_eval
Compute the occurrence probabilities	nc_occ_probs
Compute the occurrence probabilities	nc_occ_probs_simple
Randomize the occurrence matrix	nc_randomize
Randomize the occurrence matrix	nc_randomize_fast
Randomize the occurrence matrix	nc_randomize_R
Randomize the occurrence matrix	nc_randomize_simple
Sample one item from a vector, even when the vector has length 1	safe_sample