semmcmc
0.0.6Bayesian Structural Equation Modeling in Multiple Omics Data Integration
Overview
Provides Markov Chain Monte Carlo (MCMC) routine for the structural equation modelling described in Maity et. al. (2020) doi:10.1093/bioinformatics/btaa286. This MCMC sampler is useful when one attempts to perform an integrative survival analysis for multiple platforms of the Omics data where the response is time to event and the predictors are different omics expressions for different platforms.
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Health
CRAN check results are not tracked yet.
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 100%
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Dependencies
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Code & Tests
- Cyclomatic complexity
- 7.0 median / 7 max
Test coverage
Line coverage
–
Expression
–
Tests / Examples
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Functions
1 1 exported
Complexity
7 avg / 7 max
Call network
1 nodes / 0 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.
- archivedRemoved from CRAN2026-05-08email to the maintainer is undeliverable
- RR 4.6.0 released · 2026-04-24
- 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
- 0.0.62021-05-13 · diff ↗
- 0.0.42021-04-26
- RR 4.0.0 released · 2020-04-24
Package metadata
- Total releases
- 2
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.0
- Download size
- 6.6 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet