LR_table: Compute pairwise likelihood ratios
In genogeographer: Methods for Analysing Forensic Ancestry Informative Markers

Description Usage Arguments Value Author(s) Examples

For each pair of a specified vector of profiles the likelihood ratios are computed. The list can include all populations in the data or only a subset. We may for inferral purposes restrict to ratios including at least one "accepted" population.

1 2	LR_table(result_df, lr_populations = NULL, only_accepted = TRUE, CI = 0.95, digits = NULL, keep_logP = FALSE)

`result_df`	The output from `genogeo`
`lr_populations`	A vector of population names (`pop` in `result_df`). If NULL all populations are used.
`only_accepted`	Restrict the ratios to include minimum one accepted population.
`CI`	The level of confidence interval to be computed
`digits`	If rounding of the output should be performed.
`keep_logP`	Logical. Should the logP's be returned in output

A tibble with numerator and denominator populations with their log10 LR and uncertainty.

Torben Tvedebrink tvede@math.aau.dk

df_ <- simulate_pops(pop_n = 4, aims_n = 50)
df_db <- pops_to_DB(df_)
profile <- random_AIMs_profile(df_db, keep_pop = TRUE)
profile$pop[1] # The true population
result <- genogeo(profile[,c("locus","x0")], df = df_db)
LR_table(result)