opt_colpermB | R Documentation |

Useful in simulations where the posterior sampling relabels the classes, which is equivalent and cannot be told apart by the likelihood only.

opt_colpermB(A, B)

`A` |
a matrix (e.g., truth) |

`B` |
another matrix (e.g., estimated); A and B must have the same dimensions; B's columns may be permutated to best match those of A. |

a permutation of columns of B (represented by a permuted `1:ncol(A)`

)

A <- matrix(c(1,2,3,4,5,6),nrow=2,ncol=3) B <- A[,c(2,1,3)] opt_colpermB(A,B) # should expect c(2,1,3)

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