seg.ratio: Object of class segRatio contains the segregation ratios for dominant markers and other information such as the number of dominant markers per individual
model: Object of class modelSegratioMM containing mixture model information
stem: File name stem for data file (default test )
fix.one: Logical to fix the dosage of the observation closest to the centre of each component on the logit scale. This can greatly assist with convergence (Default: TRUE)
data.file: Data file name which is automatically generated from stem if not specified
## simulate small autooctaploid data seta1 <- sim.autoMarkers(8,c(0.7,0.2,0.1),n.markers=100,n.individuals=50)## compute segregation ratiossr <- segregationRatios(a1$markers)## set up model for 3 components of autooctoploidx <- setModel(3,8)dumpData(sr, x)