Two-marker data sets

Data set 1     No. observations = 2013.00     Parameters used:
s   d1   d2   a(A)   a(B)   a(a)   a(b)   c(A)   c(B)   c(a)   c(b)
1   1    1    1      2      1      2      1      2      1      2     

Full multinomial log-likelihood value: -3483.092656
Maximizing likelihood...

Number of iterations used:
300
Segregation parameter estimates

Parameter     Estimate
s    1        0.510432

Deposit parameter estimates

Parameter     Estimate
d1   1        0.895444

d2   1        0.014367

Amplification parameter estimates

Parameter     Estimate
a    1        0.815944
a    2        0.909098

Contamination parameter estimates

Parameter     Estimate
c    1        0.006633
c    2        0.011807

Log-likelihood at maximum
-3493.342834
Observed and expected cell counts under fitted model
Two-marker data sets
Data set 1: (expected)
204.012272 146.750907 64.925594 644.474238 152.783595 3.949188 
8.410279 9.650067 67.636037 8.677209 0.953721 5.219405 
672.213684 9.993788 5.402581 7.947434 
(observed)
204.000000 148.000000 80.000000 637.000000 152.000000 4.000000 
7.000000 4.000000 52.000000 6.000000 2.000000 2.000000 
683.000000 16.000000 8.000000 8.000000 
Calculating confidence intervals...
Confidence intervals for segregation parameters

Parameter     Estimate     Interval
s    1        0.510432  0.487004 0.533858