Computational efficient tools for comparing all pairs of profiles in a DNA database. The expectation and covariance of the summary statistic is implemented for fast computing. Routines for estimating proportions of close related individuals are available. The use of wildcards (also called F-designation) is implemented. Dedicated functions ease plotting the results.
|License:||GPL (>= 2)|
dbCompare: Compares make all n(n-1)/2 pairwise comparisons between profiles of a database with n DNA profiles. dbExpect: Computes the expected number of matching and partial matching loci for a given number of profiles in a database. dbVariance: Calculates the associated covariance matrix.
Torben Tvedebrink <email@example.com>, James Curran <firstname.lastname@example.org> and Mikkel Meyer Andersen <email@example.com>.
Tvedebrink T, JM Curran, PS Eriksen, HS Mogensen and N Morling (2012). Analysis of matches and partial-matches in a Danish STR data set. Forensic Science International: Genetics, 6(3): 387-392.
Read the vignette:
## Not run: data(dbExample) dbCompare(dbExample,hit=5,trace=TRUE) ## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.