nwREM-package: Implementation of an L0 penalized mvGMM EM algorithm
In nwakim/nwREM: Implementation of an L0 penalized mvGMM EM algorithm
Description
This package includes an implementation of our robust EM algorithm. The algorithm maximizes the likelihood of a mixture of multivariate Gaussians that includes an L0 penalty. The main function is em_alg_GMM, and it's non-penalized counterpart is em.mv.gmm as implemented in class.
Details
The DESCRIPTION file:
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Index: This package was not yet installed at build time.
Author(s)
Nicole Wakim
Maintainer: Nicole Wakim <nwakim@umich.edu>
nwakim/nwREM documentation built on May 22, 2019, 5:34 p.m.
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Description
This package includes an implementation of our robust EM algorithm. The algorithm maximizes the likelihood of a mixture of multivariate Gaussians that includes an L0 penalty. The main function is em_alg_GMM, and it's non-penalized counterpart is em.mv.gmm as implemented in class.
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Index: This package was not yet installed at build time.
Author(s)
Nicole Wakim
Maintainer: Nicole Wakim <nwakim@umich.edu>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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