Package: ebdbNet 1.2.8

ebdbNet: Empirical Bayes Estimation of Dynamic Bayesian Networks

Infer the adjacency matrix of a network from time course data using an empirical Bayes estimation procedure based on Dynamic Bayesian Networks.

Authors:Andrea Rau <[email protected]>

ebdbNet_1.2.8.tar.gz
ebdbNet_1.2.8.zip(r-4.7)ebdbNet_1.2.8.zip(r-4.6)ebdbNet_1.2.8.zip(r-4.5)
ebdbNet_1.2.8.tgz(r-4.6-x86_64)ebdbNet_1.2.8.tgz(r-4.6-arm64)ebdbNet_1.2.8.tgz(r-4.5-x86_64)ebdbNet_1.2.8.tgz(r-4.5-arm64)
ebdbNet_1.2.8.tar.gz(r-4.7-arm64)ebdbNet_1.2.8.tar.gz(r-4.7-x86_64)ebdbNet_1.2.8.tar.gz(r-4.6-arm64)ebdbNet_1.2.8.tar.gz(r-4.6-x86_64)
ebdbNet_1.2.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ebdbNet/json (API)

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

Bug tracker:https://github.com/andreamrau/ebdbnet/issues

Uses libs:
  • openblas– Optimized BLAS

On CRAN:

Conda:

openblas

4.28 score 4 stars 19 scripts 432 downloads 5 mentions 7 exports 11 dependencies

Last updated from:26652fa039. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK157
linux-devel-x86_64OK111
source / vignettesOK144
linux-release-arm64OK137
linux-release-x86_64OK107
macos-release-arm64OK136
macos-release-x86_64OK247
macos-oldrel-arm64OK152
macos-oldrel-x86_64OK238
windows-develOK80
windows-releaseOK91
windows-oldrelOK70
wasm-releaseOK107

Exports:calcAUCcalcSensSpecdataFormatebdbnhankelplot.ebdbNetsimulateVAR

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs