Package: dineR 2.0.0

dineR: Differential Network Estimation in R

An efficient and convenient set of functions to perform differential network estimation through the use of alternating direction method of multipliers optimization with a variety of different loss functions.

Authors:Ricardo Daniel Marques Salgado [aut, cre], Mohammad Arashi [ctb], Andriette Bekker [ctb]

dineR_2.0.0.tar.gz
dineR_2.0.0.zip(r-4.7)dineR_2.0.0.zip(r-4.6)dineR_2.0.0.zip(r-4.5)
dineR_2.0.0.tgz(r-4.6-any)dineR_2.0.0.tgz(r-4.5-any)
dineR_2.0.0.tar.gz(r-4.7-any)dineR_2.0.0.tar.gz(r-4.6-any)
dineR_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
dineR/json (API)

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

Bug tracker:https://github.com/ricsalgado/diner/issues

Pkgdown/docs site:https://ricsalgado.github.io

On CRAN:

Conda:

5.00 score 2 stars 25 scripts 506 downloads 3 exports 19 dependencies

Last updated from:934d3c5a7a. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK128
source / vignettesOK182
linux-release-x86_64OK137
macos-release-arm64OK179
macos-oldrel-arm64OK152
windows-develOK84
windows-releaseOK70
windows-oldrelOK67
wasm-releaseOK119

Exports:data_generatorestimationnpn

Dependencies:clicodetoolscrayondoSNOWforeachgluehmsiteratorslatticelifecycleMASSMatrixpkgconfigprettyunitsprogressR6rlangsnowvctrs

Data Generator
Getting Started | Arguments | Data Generation | Outputs

Last update: 2026-05-30
Started: 2026-05-30

Differential Networks
Data Generation | Model Building

Last update: 2026-05-30
Started: 2021-10-28

Estimation
Getting Started | Arguments | Data Generation | Outputs

Last update: 2026-05-30
Started: 2026-05-30

Parallelisation
Switching Between Sequential and Parallel Mode | Performance Benchmarks | Interpreting the Results | Choosing the Number of Cores

Last update: 2026-05-30
Started: 2026-05-30