Regularization of covariance matrix by winsorizing the eigenvalues #292
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This commit includes regularization of covariance matrix. The function "regularize_eigenvalues" was added to utils.R This function winsorizes very small eigenvalues to a value between 0.1-1. This value is chosen based on the ratio of eigenvalues to the largest eigenvalue. Using this function, the covariance matrix is regularized at lines 80-104 of the script sparse_linear.R. The regularized covariance matrix is returned as a stand-alone output and is included in the list of outputs at line 157.