Package: unifDAG 1.0.4

unifDAG: Uniform Sampling of Directed Acyclic Graphs

Uniform sampling of Directed Acyclic Graphs (DAG) using exact enumeration by relating each DAG to a sequence of outpoints (nodes with no incoming edges) and then to a composition of integers as suggested by Kuipers, J. and Moffa, G. (2015) <doi:10.1007/s11222-013-9428-y>.

Authors:Markus Kalisch [aut, cre], Manuel Schuerch [ctb]

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unifDAG.pdf |unifDAG.html
unifDAG/json (API)

# Install 'unifDAG' in R:
install.packages('unifDAG', repos = c('https://mk314199.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda-Forge:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 3 scripts 181 downloads 2 exports 4 dependencies

Last updated 1 years agofrom:790231d989. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 25 2025
R-4.5-winOKFeb 25 2025
R-4.5-macOKFeb 25 2025
R-4.5-linuxOKFeb 25 2025
R-4.4-winOKFeb 25 2025
R-4.4-macOKFeb 25 2025
R-4.3-winOKFeb 25 2025
R-4.3-macOKFeb 25 2025

Exports:unifDAGunifDAG.approx

Dependencies:BiocGenericsgenericsgmpgraph

A Guide to the unifDAG Package

Rendered fromunifDAG-vignette.Rnwusingknitr::knitron Feb 25 2025.

Last update: 2017-09-12
Started: 2017-09-12