latentgraph
1.1Graphical Models with Latent Variables
Overview
Three methods are provided to estimate graphical models with latent variables: (1) Jin, Y., Ning, Y., and Tan, K. M. (2020) (preprint available); (2) Chandrasekaran, V., Parrilo, P. A. & Willsky, A. S. (2012) doi:10.1214/11-AOS949; (3) Tan, K. M., Ning, Y., Witten, D. M. & Liu, H. (2016) doi:10.1093/biomet/asw050.
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Code & Tests
- Cyclomatic complexity
- 2.0 median / 14 max
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Functions
32 4 exported
Complexity
3.3 avg / 14 max
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32 nodes / 27 edges
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Open call graph →Lowest coverage
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People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2025-12-25issues were not addressed in time
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.12020-12-10 · diff ↗
- 1.02020-12-02
- RR 4.0.0 released · 2020-04-24
Package metadata
- Total releases
- 2
- License
- GPL-3 OSI
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