MRFcov
Markov Random Fields with Additional Covariates
Approximate node interaction parameters of Markov Random Fields graphical networks. Models can incorporate additional covariates, allowing users to estimate how interactions between nodes in the graph are predicted to change across covariate gradients. The general methods implemented in this package are described in Clark et al. (2018) doi:10.1002/ecy.2221.
- Version1.0.39
- R version≥ 3.3.3
- LicenseGPL-3
- Needs compilation?No
- MRFcov citation info
- Last release04/06/2023
Documentation
Team
Nicholas J Clark
Konstans Wells
Show author detailsRolesAuthorOscar Lindberg
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 213 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 13 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 3,633 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 21, 2024 with 147 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
- Depends1 package
- Imports14 packages
- Suggests3 packages