profile_admixture: Compute the z-score (and more) for admixed hypotheses

In genogeographer: Methods for Analysing Forensic Ancestry Informative Markers

Description

Compute the z-score (and more) for admixed hypotheses

Usage

profile_admixture(x0, df, hyp = NULL, grouping = "meta",
  return_all = FALSE, calc_logP = TRUE, ...)

Arguments

x0	A data frame/tibble with two columns: 'locus' and 'x0'
df	A tibble of reference profiles (as for 'genogeo')
hyp	If NULL all levels of 'grouping' is crossed and looped over as pairwise hypotheses. If a single level of 'grouping', this value is crossed with the remaining levels. If vector of two levels this is the only tested hypothesis.
grouping	Should the calculations be for meta populations ("meta") or sample populations ("pop")?
return_all	Should z-score be returned (FALSE) or all locus results (TRUE)?
calc_logP	Should log P(Geno|Hyp) be calculated (TRUE) or not (FALSE)?
...	additional arguments passed on to other functions

Value

A tibble of z-scores, or a list of pairwise results if 'return_all = TRUE'

genogeographer documentation built on Sept. 27, 2019, 5:03 p.m.