modeP {MasterBayes}R Documentation

Posterior Mode of Parents

Description

Finds the mode of the posterior marginal distribution of parents

Usage

modeP(postP, threshold=0, ...)

Arguments

postP posterior distribution of parentage from an MCMCped model with argument write_postP="MARGINAL"
threshold threshold probability under which ML parents are replaced by NA
... further arguments to be passed

Details

Individuals that do not have a parent assignment with a posterior probability exceeding the threshold, or whose parents belong to the base or unsampled population, have NA in the dan and sire columns. Please bear in mind that the mode of the marginal distribution may be different from the mode of the joint distribution. For example the male that has the highest marginal probability (marginal with respect to potential mothers) may not be the male that is in the parental category (i.e. dam/sire combination) with the highest probability. With multigenerational pedigrees, the mode of the joint distribution of parental combinations may not coincide with the mode of the distribution of pedigrees!

Value

pedigree with id in the first column, and ML estimates for dam and sire in the second and third columns

Author(s)

Jarrod Hadfield j.hadfield@sheffield.ac.uk

References

Hadfield J.D. et al, Molecular Ecology

See Also

MCMCped

Examples

data(WarblerP)
data(WarblerG)
GdP<-GdataPed(WarblerG)

var1<-expression(varPed(c("lat", "long"), gender="Male", 
  relational="OFFSPRING"))

# paternity is to be modelled as a function of distance 
# between offspring and male territories

res1<-expression(varPed("offspring", restrict=0))

# indivdiuals from the offspring generation are excluded as parents

res2<-expression(varPed("terr", gender="Female", relational="OFFSPRING", 
  restrict=TRUE))

# mothers not from the offspring territory are excluded
 
PdP<-PdataPed(formula=list(var1,res1,res2), data=WarblerP, USsire=FALSE)
tP<-tunePed(beta=30)

model1<-MCMCped(PdP=PdP, GdP=GdP, tP=tP, nitt=3000, thin=2, burnin=1000) 

ped<-modeP(model1$P, threshol=0.9)
ped

[Package MasterBayes version 1.0 Index]