EstimateGroupNetwork
Perform the Joint Graphical Lasso and Selects Tuning Parameters
Can be used to simultaneously estimate networks (Gaussian Graphical Models) in data from different groups or classes via Joint Graphical Lasso. Tuning parameters are selected via information criteria (AIC / BIC / extended BIC) or cross validation.
- Version0.3.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- EstimateGroupNetwork citation info
- Last release02/10/2021
Documentation
Team
Giulio Costantini
Sacha Epskamp
Nils Kappelmann
Insights
Last 30 days
This package has been downloaded 344 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 17 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 3,805 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 May 28, 2024 with 43 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
- Imports4 packages
- Suggests3 packages