  =============================================
  AUTO                                         
  =============================================
  MIGRATION RATE AND POPULATION SIZE ESTIMATION
  using Markov Chain Monte Carlo simulation
  =============================================
  Version 2.1.8

  Program started at Fri Aug 25 19:52:32 2006
                                                   


Options in use:
---------------
Datatype: Microsatellite data [Stepwise mutation]
Missing data is not included
Pseudo-random number generator: Least Congruental Generator                     
Random number seed (with internal timer)           1156549953
Start parameters:
   First genealogy was started using a random tree
   Theta values were generated  from an FST-calculation
   M values were generated from the FST-calculation
Migration model:
   Migration matrix model with variable Theta  
Mutation rate is constant for all loci
Analysis strategy is                                    Bayesian
Prior distribution used:
Parameter group         Prior type   Minimum    Mean(*)    Maximum    Delta
----------------------  ------------ ---------- ---------- ---------- ----------
Population size (Theta)  Exponential  0.000000   1.000000  10.000000           -
Migration rate      (M)  Exponential  0.000000  10.000000  1000.00000          -



Markov chain settings:
   Long chains (long-chains):                              1
      Steps sampled (inc*samples*rep):                  6400
      Steps recorded (sample*rep):                      3200
   Combining over replicates:                              2
   Static heating scheme
      4 chains with  temperatures
       1.00, 2.33, 3.67, 5.00
      Swapping interval is 1
   Number of discard trees per chain:                    130
Print options:
   Data file:                                    infile.msat
   Output file (ASCII text):                   outfile-bayes
   Output file (PDF):                            outfile.pdf
   Posterior distribution:                         bayesfile
   Print data:                                            No
   Print genealogies:                                     No
   Plot data: No                                            
   Profile likelihood: Yes, tables and summary             
             Percentile method
             with df=1 and for Theta and M=m/mu



Summary of data:
---------------
Datatype:                                 Microsatellite data
Number of loci:                                            10

Population                                    Locus  Gene copies
                                                     data (missing)
----------------------------------------------------------------
  1 population__number___0                       1     50 (0)
                                                 2     50 (0)
                                                 3     50 (0)
                                                 4     50 (0)
                                                 5     50 (0)
                                                 6     50 (0)
                                                 7     50 (0)
                                                 8     50 (0)
                                                 9     50 (0)
                                                10     50 (0)
  2 population__number___1                       1     42 (0)
                                                 2     42 (0)
                                                 3     42 (0)
                                                 4     42 (0)
                                                 5     42 (0)
                                                 6     42 (0)
                                                 7     42 (0)
                                                 8     42 (0)
                                                 9     42 (0)
                                                10     42 (0)
Total of all populations                         1     92 (0)
                                                 2     92 (0)
                                                 3     92 (0)
                                                 4     92 (0)
                                                 5     92 (0)
                                                 6     92 (0)
                                                 7     92 (0)
                                                 8     92 (0)
                                                 9     92 (0)
                                                10     92 (0)

