Joint Mean and Covariance Estimation for Matrix-Variate Data
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Documentation for package ‘jointMeanCov’ version 0.1.0
Help Pages
| centerDataGLSModelSelection | Center Each Column By Subtracting Group or Global GLS Mean |
| centerDataTwoGroupsByIndices | Center Each Column by Subtracting Group Means |
| centerDataTwoGroupsByModelSelection | Center Each Column Based on Model Selection |
| GeminiB | Estimate Row-Row Covariance Structure Using Gemini |
| GeminiBPath | Estimate Row-Row Covariance Using Gemini for a Sequence of Penalties |
| GLSMeans | Generalized Least Squares |
| jointMeanCovGroupCen | Estimate Mean and Row-Row Correlation Matrix Using Group Centering |
| jointMeanCovModSelCen | Estimate Mean and Row-Row Correlation Matrix Using Model Selection |
| jointMeanCovStability | Estimate Mean and Correlation Structure Using Stability Selection |
| plot.jointMeanCov | Quantile Plot of Test Statistics |
| summary.jointMeanCov | Summary of Test Statistics |
| theoryRowpenUpperBound | Penalty Parameter for Covariance Estimation Based on Theory |
| theoryRowpenUpperBoundDiagA | Penalty Parameter for Covariance Estimation Based on Theory |
| twoGroupDesignMatrix | Design Matrix for Two-Group Mean Estimation |