Package: inet 0.1.0

inet: Performing Inference on Networks with Regularization

Performs inference with the lasso in Gaussian Graphical Models. The package consists of wrappers for functions from the hdi package.

Authors:Lourens Waldorp <[email protected]>, Jonas Haslbeck <[email protected]>

inet_0.1.0.tar.gz
inet_0.1.0.zip(r-4.7)inet_0.1.0.zip(r-4.6)inet_0.1.0.zip(r-4.5)
inet_0.1.0.tgz(r-4.6-any)inet_0.1.0.tgz(r-4.5-any)
inet_0.1.0.tar.gz(r-4.7-any)inet_0.1.0.tar.gz(r-4.6-any)
inet_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
inet/json (API)

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

Bug tracker:https://github.com/jmbh/inet/issues

Datasets:
  • ptsd_data - Datasets included in inet package

On CRAN:

Conda:

2.00 score 10 scripts 206 downloads 7 exports 16 dependencies

Last updated from:d1cd82eb06. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK119
source / vignettesOK159
linux-release-x86_64OK115
macos-release-arm64OK136
macos-oldrel-arm64OK158
windows-develOK80
windows-releaseOK81
windows-oldrelOK85
wasm-releaseOK98

Exports:input_checkslassolasso_dsplasso_dsp_bootlasso_msOLSplot.inet

Dependencies:codetoolsforeachglmnethdiiteratorslarslatticelinproglpSolveMASSMatrixRcppRcppEigenscalregshapesurvival