Here we have implemented a partial correlation estimation toolbox coupled with population inference for network metrics applied to partial correlation networks. To make a record of a data analysis run on sumatra ``` smt configure -m pymat_run_main.py -e python --datapath ./Data --archive ./archive --input . smt run -l "trial_xxx" -r "Test feature Y.2" ``` ## Updates Update June 23-2016: - KGGMScript no longer a submodule. - Master branch updated with network metrics - add_network_metrics will be deleted in the future, as it has been merged. Update June 07-2016: Note: Although there is a submodule KGGMScript, it is currently unnecessary to use. ## LICENSE This toolbox is licensed under the BSD "new" license. The software license does not apply to the python scripts in the folder python or to external libraries used.
neuroquant/parcor
Partial correlation (w. shrinkage estimation) networks and subsequent network analysis
MatlabBSD-3-Clause