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cin

Many experiments in neuroscience involve randomized and fast stimulation while the continuous outcom...
clime

A robust constrained L1 minimization method for estimatinga large sparse inverse covariance ...
cord

Partition data points (variables) into communities/clusters, similar to clustering algorithms, such ...
lorec

Estimate covariance matrices that contain low rank and sparse components
macc

Performs causal mediation analysis under confounding or correlated errors. This package includes a s...
pro

Optogenetics is a new tool to study neuronal circuits that have been genetically modified to allow s...
scio

Sparse Column-wise Inverse Operator for estimating the inverse covariance matrix. Note that this is...

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