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README.md
In JGL: Performs the Joint Graphical Lasso for Sparse Inverse Covariance Estimation on Multiple Classes
JGL package
This package runs the Joint Graphical Lasso (JGL) method for estimating sparse inverse covariance matrices across multiple similar datasets.
Reference:
Danaher P, Wang P, Witten DM. The joint graphical lasso for inverse covariance estimation across multiple classes. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 2014 Mar 1;76(2):373-97.
Install the package from CRAN with install.packages("JGL")
Try the JGL package in your browser
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JGL documentation built on May 29, 2024, 7:11 a.m.
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JGL package
This package runs the Joint Graphical Lasso (JGL) method for estimating sparse inverse covariance matrices across multiple similar datasets.
Reference:
Danaher P, Wang P, Witten DM. The joint graphical lasso for inverse covariance estimation across multiple classes. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 2014 Mar 1;76(2):373-97.
Install the package from CRAN with install.packages("JGL")
Try the JGL package in your browser
Any scripts or data that you put into this service are public.
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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