plot.segratioMCMC: MCMC plots for segregation ratio mixture models

In polySegratioMM: Bayesian Mixture Models for Marker Dosage in Autopolyploids

MCMC plots for segregation ratio mixture models

Description

Standard MCMC trace and density plots for specified mixure model parameters and posterior probability distributions for specified markers

Usage

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

Arguments

x	object of class segratioMCMC
...	extra options for printing
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)

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)

## Not run: 
## fit simple model in one hit and summarise

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

## End(Not run)

polySegratioMM documentation built on Feb. 25, 2026, 5:08 p.m.