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semmcmc  

Bayesian Structural Equation Modeling in Multiple Omics Data Integration
View on CRAN: Click here


Download and install semmcmc package within the R console
Install from CRAN:
install.packages("semmcmc")

Install from Github:
library("remotes")
install_github("cran/semmcmc")

Install by package version:
library("remotes")
install_version("semmcmc", "0.0.6")



Attach the package and use:
library("semmcmc")
Maintained by
Arnab Maity
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-26
Latest Update: 2021-05-13
Description:
Provides Markov Chain Monte Carlo (MCMC) routine for the structural equation modelling described in Maity et. al. (2020) . 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.
How to cite:
Arnab Maity (2021). semmcmc: Bayesian Structural Equation Modeling in Multiple Omics Data Integration. R package version 0.0.6, https://cran.r-project.org/web/packages/semmcmc. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.0.4 (2021-04-26 08:10)
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Complete documentation for semmcmc
Functions, R codes and Examples using the semmcmc R package
Some associated functions: mcmc . 
Some associated R codes: mcmc.R .  Full semmcmc package functions and examples
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