Fingerprint Analysis with Missing Data

Fingerprint Analysis with Missing Data (FAMD) has minimum, maximum, or average (dis)similarity calculation allowing the estimation of the extent to which missing data may impact on the analysis. Features output of distance matrices, missing data re-sampling, estimation of Shannon's index by bootstrapping, UPGMA, NJ, strict, and majority rule consensus trees, estimation of R-support, PCoA (principal coordinate analysis) and 3D viewer with bitmap and metafile support.