Randomly initializes based on ALR transform of counts plus random pseudocounts uniformily distributed between 0 and 1.
Examples
Y <- matrix(sample(1:100, 100), 10, 10)
random_pibble_init(Y)
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] 0.3170046 -1.55080772 -0.71011131 -0.82314976 0.86213572 -0.76379225
#> [2,] 1.2328442 -0.21532558 -1.58161832 -0.28221958 0.20217913 -0.84292120
#> [3,] 1.0768467 -0.03832228 -1.02924931 -3.60300180 0.63078163 0.18006082
#> [4,] 1.7103364 -0.78276935 -1.20647771 -0.17999509 0.72083601 -2.08970674
#> [5,] 1.4170848 -0.66260539 -1.71210830 -1.13385853 0.23744435 0.31326187
#> [6,] -1.3553257 -1.60738802 -0.32064207 -0.76813318 -0.57163186 -0.46409110
#> [7,] 0.8029483 -1.53374068 0.14572489 -0.04028753 -0.99603418 -0.01172994
#> [8,] 1.2923850 -0.56671283 -0.34917151 -0.08478833 0.69820348 0.35838956
#> [9,] 0.7875726 -2.07000500 -0.07004371 -2.67352980 0.01901132 -1.68815282
#> [,7] [,8] [,9] [,10]
#> [1,] -0.024196166 0.11700768 0.5089546 -0.07957895
#> [2,] -0.289032777 -0.37978322 0.6201055 -3.13609425
#> [3,] -0.763486729 -0.71285681 -1.5250806 0.10208235
#> [4,] -0.389386556 -0.31915975 0.5292085 -1.48022729
#> [5,] -4.241269612 -0.03182593 -0.4643899 -2.48265736
#> [6,] -0.201519416 -0.67677544 0.7063239 -0.48869925
#> [7,] -0.821957471 -0.93026320 0.1105759 -0.84266529
#> [8,] -0.002203711 -0.23992668 0.4671984 -0.09315359
#> [9,] -1.528008431 -2.56083649 0.6807728 -0.36385436