allPairsTable: Blind search table
In thoree/inbred: Different functions related to LR, bootstrap etc

Description Usage Arguments Details Value Author(s) References Examples

Calculate table ofLRs and posteriors for PO, SI, SI, FC and UN for all pairs

1	allPairsTable(x, ids = NULL, markers = NULL)

`x`	A 'ped' object or a list of such.
`ids`	Either a vector with ID labels, or a data frame/matrix with two columns, where each row contains the ID labels of two individuals. The entries are coerced to characters, and must match uniquely against the ID labels of 'x'. If 'ids' is a vector, it is converted to a matrix containing all pairs. By default, all individuals of 'x' are included.
`markers`	A numeric indicating which marker(s) to include. If NULL (default), all markers are used.

A uniform priorisused so far

A list with two elements, one data frame for LRs, one for posteriors with flat prior. The data frame with 6 columns: 'ID1', 'ID2', 'N' (the number of markers with no missing alleles), 'andLRs or posteriors.

Thore Egeland

To appear

### Example 1
library(forrel)
x = nuclearPed(2)
# Simulate 200 equifrequent SNPs
x = markerSim(x, N = 200, alleles = 1:2, verbose = FALSE)

# Parent offspring against unrelated
tab1 = allPairsTable(x)

### Example 2 X-markers
library(pedtools, quietly = T)
x = nuclearPed(2)
x = setMarkers(x, locusAttributes = dbX12)
chrom(x, 1:length(dbX12)) = "X"
x = profileSim(x, N = 10)
tab1 = allPairsTable(x[[1]])