Description Details Author(s) References Examples
The package calculates composite paternity index based on SNP markers. The paternity index are calculation based on no mutations or no technical error. High quality data, preferably confirmed genotypes with multiple assays are desirable. The package is for research purpose only not for legal or diagnostic purpose.
Package: | paternity |
Type: | Package |
Version: | 1.0.1 |
Date: | 2013-09-26 |
License: | GPL (>= 2) |
~~ An overview of how to use the package, including the most important ~~ ~~ functions ~~
Umesh Rosyara, Michigan State University Maintainer: Umesh Rosyara <rosyara@msu.edu> or <rosyaraur@gmail.com>
Elston, R.C. 1986. Probability and paternity testing. Am.. J.. Human Genetics 39: 112-122 Evett, I.W., and B.S. Weir.1998. Interpreting DNA evidence. Sunderland, MA: Sinauer Associates, Inc.
1 2 3 4 5 6 7 8 9 10 11 12 | data(patdatSNP)
pind <- paternityIndex (dataframe =patdatSNP , marker = "SNPmarker",
mother = "Mother", child = "Child", AF = "AFather1", Afreq = "a",
Bfreq = "b", afcalcol = NA)
# log composite paternity index
log(prod(pind$PI))
# allele calculated from the dataset provided in columns afcalcol
pind1 <- paternityIndex (dataframe =patdatSNP , marker = "SNPmarker",
mother = "Mother", child = "Child", AF = "AFather1", Afreq = "calculate",
Bfreq = "calculate", afcalcol = 4:15)
log(prod(pind1$PI))
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.