Nothing

```
# DESP/R/DESP_MST.R by A. S. Dalalyan and S. Balmand Copyright (C) 2015-
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License (version 3) as published by
# the Free Software Foundation.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# A copy of the GNU General Public License is available at
# http://www.r-project.org/Licenses/
#
DESP_MST <-
function(X,B,Theta=NULL) {
# estimation of the diagonal of the precision matrix using minimum spanning trees, when the true value of B is known or has already been estimated
# the observations of the data matrix X are assumed to have zero mean
# read the sample size and the number of variables
D = dim(X);
n = D[1]; # n is the sample size
p = D[2]; # p is the dimension
# compute the sample cov matrix
if(is.null(Theta))
{
S = crossprod(X)/n;
}
else
{
S = crossprod(X - Theta %*% MASS::ginv(B))/n;
}
G = DESP_Weighted_Graph(B,n);
trees = DESP_MST_MaxDegreeRoot(G);
Phi = DESP_MST_Phi(S,B,trees);
return(1/Phi);
}
DESP_MST_Phi <-
function(S,B,trees) {
return(DESP_SPT_Phi(S,B,trees));
}
```

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