semmcmc: Bayesian Structural Equation Modeling in Multiple Omics Data Integration

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.

Version: 0.0.6
Depends: R (≥ 4.0)
Imports: MASS, msm
Published: 2021-05-13
Author: Arnab Maity [aut, cre], Sang Chan Lee [aut], Bani K. Mallick [aut], Samsiddhi Bhattacharjee [aut], Nidhan K. Biswas [aut]
Maintainer: Arnab Maity <arnab.maity at pfizer.com>
License: GPL-3
NeedsCompilation: no
Citation: semmcmc citation info
Materials: README
CRAN checks: semmcmc results

Documentation:

Reference manual: semmcmc.pdf

Downloads:

Package source: semmcmc_0.0.6.tar.gz
Windows binaries: r-devel: semmcmc_0.0.6.zip, r-release: semmcmc_0.0.6.zip, r-oldrel: semmcmc_0.0.6.zip
macOS binaries: r-release (arm64): semmcmc_0.0.6.tgz, r-release (x86_64): semmcmc_0.0.6.tgz, r-oldrel: semmcmc_0.0.6.tgz
Old sources: semmcmc archive

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