print.dosagesMCMC: Doses from Bayesian mixture model

In polySegratioMM: Bayesian Mixture Models for Marker Dosage in Autopolyploids

Description

Prints objects of S3 class dosagesMCMC or segratioMCMC

Usage

## 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)

Value

None.

Author(s)

Peter Baker [e-mail]

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)

polySegratioMM documentation built on May 2, 2019, 9:49 a.m.