clime - Constrained L1-Minimization for Inverse (Covariance) Matrix Estimation

A robust constrained L1 minimization method for estimating a large sparse inverse covariance matrix (aka precision matrix), and recovering its support for building graphical models. The computation uses linear programming. The method was published in TT Cai, W Liu, X Luo (2011) <doi:10.1198/jasa.2011.tm10155>.

Last updated 3 years ago

4.24 score 4 dependents 29 scripts 300 downloads

pro - Point-Process Response Model for Optogenetics

Optogenetics is a new tool to study neuronal circuits that have been genetically modified to allow stimulation by flashes of light. This package implements the methodological framework, Point-process Response model for Optogenetics (PRO), for analyzing data from these experiments. This method provides explicit nonlinear transformations to link the flash point-process with the spiking point-process. Such response functions can be used to provide important and interpretable scientific insights into the properties of the biophysical process that governs neural spiking in response to optogenetic stimulation.

Last updated 9 years ago

3.00 score 4 scripts 111 downloads

cord - Community Estimation in G-Models via CORD

Partition data points (variables) into communities/clusters, similar to clustering algorithms, such as k-means and hierarchical clustering. This package implements a clustering algorithm based on a new metric CORD, defined for high dimensional parametric or semi-parametric distributions. Read http://arxiv.org/abs/1508.01939 for more details.

Last updated 9 years ago

cpp

1.00 score 1 scripts 168 downloads

lorec - LOw Rand and sparsE Covariance matrix estimation

Estimate covariance matrices that contain low rank and sparse components

Last updated 11 years ago

fortranopenblas

1.00 score 1 scripts 138 downloads