genetic_relatedness: Estimates pair-wise relatedness
In MarianaLag/Mlag: Tools Related to the Spatial Analysis of Genetic Marker Data

Description Usage Arguments Value Note Examples

This function returns single relatedness estimates as a pairwise matrix.

genetic_relatedness(
  x,
  loci = NA,
  mode = c("Nason", "LynchRitland")[1],
  freqs = NA
)

`x`	A `data.frame` that has `locus` columns.
`loci`	The loci to use (if missing all loci are used).
`mode`	The kind of relatedness to be estimated. Currently Fij (the default) and LynchRitland are available.
`freqs`	An optional `data.frame` (as returned by the function `frequencies()` with allele frequencies). If this is not provided, it will be estimated from all the data. This allows you to estimate relatedness among subsets of individuals using more global measures of relatedness.

A matrix of pairwise relatedness estimates.

This only works on diploid data and will return NA for any comparison of missing genotypes.

1
2
3

loci <- c( locus(1:2), locus(c(2,2)), locus(1:2) )
genetic_relatedness( loci )
genetic_relatedness( loci, freqs = data.frame( Allele=c("1","2"), Frequency=c(0.5,0.5)))