Description Usage Arguments Details Value See Also Examples
Likelihood for two Possibly Inbred Individuals as a function of the Condensed 'Jacquard' Coefficients
1 | likPairs(a, b, cc, d, pa, pb, pc, pd, Delta, DeltaMatrix)
|
a |
Vector of positive integers (allele 1 of individual 1) |
b |
Vector of positive integers (allele 2 of individual 1) |
cc |
Vector of positive integers (allele 1 of individual 2) |
d |
Vector of positive integers (allele 2 of individual 2) |
pa |
Double vector of allele frequencies |
pb |
Double vector of allele frequencies |
pc |
Double vector of allele frequencies |
pd |
Double vector of allele frequencies |
Delta |
Double vector of length 9 summing to unity |
DeltaMatrix |
Double 9x9 matrix of two locus identity coefficients |
The implementation is based on conditioning on IBD states at two linked loci. See 'inbred::likPairsPed' for an implementation based 'ped-suite' input.
The likelihoods for pairs of markers. If there is an odd number of markers, the last marker is omitted.
'ribd::condensedIdentity' and 'ribd::twoLocusIdentity'.'
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | library(pedtools)
library(ribd)
a = c(1, 1, 1, 1)
b = c(2, 2, 1, 2)
cc = c(1, 2, 2, 2)
d = c(1, 2, 1, 1)
pa = p[a]
pb = p[b]
pc = p[cc]
pd = p[d]
H1 = halfSibPed(1)
p = c(0.4, 0.6)
# For plotting only
als = 1:length(p)
m = list()
for (i in 1:length(a))
m[[i]] = marker(H1, afreq = p, alleles = als,
"4" = c(a[i], b[i]), "5" = c(cc[i], d[i]) )
H1 = setMarkers(H1, m)
# plot(H1,m)
Delta1 = condensedIdentity(H1, c(4,5))
rho = 0.01
Delta2 = twoLocusIdentity(H1, c(4,5), rho)
lik1 = likPairs(a,b,cc,d, pa, pb, pc, pd, Delta = Delta1, DeltaMatrix = Delta2)
numerator = prod(lik1)
Delta1 = condensedIdentity(H1, c(1, 2))
rho = 0.5
Delta2 = matrix(0, ncol = 9, nrow = 9); Delta2[9,9] = 1
lik2 = likPairs(a,b,cc,d, pa, pb, pc, pd, Delta = Delta1, DeltaMatrix = Delta2)
denominator = prod(lik2)
numerator/denominator
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