500 	the number of individuals
20	the number of SNPs
0	the number of environmental factors
1	the starting number of risk sets
14	the maximum allowed risk sets
0	the minimum allowed risk sets
4	the maximum allowed active parameters
1	the minimum allowed active parameters
0.5	the prior for the number of active parameters ~geo(PriorActive)
0.5	the prior for the number of risk sets ~geo(PriorRiskSet)
200	the maximun value for the standard diviation
1	the number kappa will be mulitplied with
0	0: the imperical averge will be used 1: the midrange will be used
10	the starting value for the SD
1	1:prints the risk sets, 0:does no
100000	the number of iterations
0	the number of iterations discarded (the burn in)
100	the tinning rate
5	the ratio for updating the mean
0	0: the trait is normally distributed. 1: the trait is binary
0      the  number of permutations
1	1: risksets have a higher mean than the none risk set
0	the number of adjustment factors
0	range min 
0	range max: if range min =0 and range max = 0 then the range of the distribution is used
0.9	this fraction of the individual used to calculate the range. eg. if 0.9 then the 5% of both tails are removed
0 	0: use frequencies for prios for missing genotypes. 1: use custom priors 
0.33 	the cutoff for accepting a infered genotype.