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.
- Version0.0.6
- R version≥ 4.0
- LicenseGPL-3
- Needs compilation?No
- semmcmc citation info
- Last release05/13/2021
Documentation
Team
Arnab Maity
Samsiddhi Bhattacharjee
Show author detailsRolesAuthorBani K. Mallick
Show author detailsRolesAuthorSang Chan Lee
Show author detailsRolesAuthorNidhan K. Biswas
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 132 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,591 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 21 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports2 packages