README.md
In nwakim/nwREM: Implementation of an L0 penalized mvGMM EM algorithm
nwREM
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.
nwakim/nwREM documentation built on May 22, 2019, 5:34 p.m.
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nwREM
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.
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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