Compute squareroot of large covariance matrix

sqrtmat.comp(mat, thresh = 10^(-20), K = NULL)

Arguments

mat

Covariance matrix

thresh

(default=10^(-20))

K

Dimension of the matrix. Default is set as ncol(mat)-1

Value

squareroot of matrix

References

TBA

Examples

set.seed(1234) x=matrix(100*20,100,20) covmat=cov(x) sqrtmat.comp(covmat)
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] #> [1,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [2,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [3,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [4,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [5,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [6,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [7,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [8,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [9,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [10,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [11,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [12,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [13,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [14,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [15,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [16,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [17,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [18,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [19,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [20,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [,14] [,15] [,16] [,17] [,18] [,19] [,20] #> [1,] 0 0 0 0 0 0 0 #> [2,] 0 0 0 0 0 0 0 #> [3,] 0 0 0 0 0 0 0 #> [4,] 0 0 0 0 0 0 0 #> [5,] 0 0 0 0 0 0 0 #> [6,] 0 0 0 0 0 0 0 #> [7,] 0 0 0 0 0 0 0 #> [8,] 0 0 0 0 0 0 0 #> [9,] 0 0 0 0 0 0 0 #> [10,] 0 0 0 0 0 0 0 #> [11,] 0 0 0 0 0 0 0 #> [12,] 0 0 0 0 0 0 0 #> [13,] 0 0 0 0 0 0 0 #> [14,] 0 0 0 0 0 0 0 #> [15,] 0 0 0 0 0 0 0 #> [16,] 0 0 0 0 0 0 0 #> [17,] 0 0 0 0 0 0 0 #> [18,] 0 0 0 0 0 0 0 #> [19,] 0 0 0 0 0 0 0 #> [20,] 0 0 0 0 0 0 0