print.dosagesMCMC function

Doses from Bayesian mixture model

Prints objects of S3 class dosagesMCMC or segratioMCMC

## S3 method for class 'dosagesMCMC'
print(x, ..., index.sample = 20)

## S3 method for class 'segratioMCMC'
print(x, ..., row.index = c(1:10), var.index = c(1:6), marker.index
 = c(1:8), chain = 1)

Arguments

• x: object of class dosagesMCMC or segratioMCMC
• ...: extra options for printing
• index.sample: which markers to print (Default: 20 markers at random)
• row.index: which rows to print (Default: first 10)
• var.index: which mixture model variable to summarise (Default: all)
• marker.index: which markers to summarise (Default: 1:8)
• chain: which chain to print (Default: 1)

Returns

None.

Author(s)

Peter Baker p.baker1@uq.edu.au

See Also

dosagesMCMC readJags

Examples

## simulate small autooctaploid data set
a1 <- sim.autoMarkers(8,c(0.7,0.2,0.1),n.markers=100,n.individuals=50)
##print(a1)
sr <-  segregationRatios(a1$markers)
x <- setModel(3,8)

## fit simple model in one hit

## Not run:

x.run <- runSegratioMM(sr, x, burn.in=200, sample=500)

print(x.run$doses)
## End(Not run)