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capr - Covariate Assisted Principal Regression

Covariate Assisted Principal Regression (CAPR) for multiple covariance-matrix outcomes. The method identifies (principal) projection directions that maximize the log-likelihood of a log-linear regression model of the covariates. See Zhao et al. (2021), "Covariate Assisted Principal Regression for Covariance Matrix Outcomes" <doi:10.1093/biostatistics/kxz057>.

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openblascpp

4.82 score 102 scripts 145 downloads

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>.

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4.16 score 3 dependents 32 scripts 361 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.

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3.00 score 5 scripts 104 downloads

cord - Community Estimation in G-Models via CORD

Partitions 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 semiparametric distributions. For more details see Bunea et al. (2020), Annals of Statistics <doi:10.1214/18-AOS1794>.

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cpp

2.00 score 3 scripts 247 downloads

lorec - LOw Rand and sparsE Covariance matrix estimation

Estimate covariance matrices that contain low rank and sparse components

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openblasfortran

1.00 score 1 scripts 183 downloads