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depscope/cran/pcalg

pcalg

cranv2.7-12

Methods for Graphical Models and Causal Inference. Functions for causal structure learning and causal inference using graphical models. The main algorithms for causal structure learning are PC (for observational data without hidden variables), FCI and RFCI (for observational data with hidden variables), and GIES (for a mix of data from observational

License GPL (>= 2)0 versions1 maintainers17 deps952 weekly dl
https://CRAN.R-project.org/package=pcalg
41
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safe to use

[email protected] is safe to use (health: 41/100)

Health breakdown0 – 100
5/25
maintenance
3/20
popularity
25/25
security
6/15
maturity
2/15
community
Vulnerabilities
0
none known

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Dependency Tree

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Dependencies (17)
statsgraphicsutilsmethodsabindgraphRBGLigraphggmcorpcorrobustbasevcdRcppbdsmatrixsfsmiscfastICAclue
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First published · 2024-09-12 17:46:28

Last updated · 2024-09-12T16:40:27+00:00

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