MNS - Mixed Neighbourhood Selection
An implementation of the mixed neighbourhood selection (MNS) algorithm. The MNS algorithm can be used to estimate multiple related precision matrices. In particular, the motivation behind this work was driven by the need to understand functional connectivity networks across multiple subjects. This package also contains an implementation of a novel algorithm through which to simulate multiple related precision matrices which exhibit properties frequently reported in neuroimaging analysis.
Last updated 9 years ago
2.85 score 6 scripts 117 downloadsrRAP - Real-Time Adaptive Penalization for Streaming Lasso Models
An implementation of the Real-time Adaptive Penalization (RAP) algorithm through which to iteratively update a regularization parameter in a streaming context.
Last updated 8 years ago
1.00 score 4 scripts 37 downloads