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More than one data set data region
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More than one data set data region or grouping in the report has the name


Date:01.02.2017, 08:10 Also, because of the way Lamarc implements this feature, it can only be used for maximum-likelihood analyses. If you want to perform a Bayesian analysis, and you think the single-region relative mutation rates are approximately gamma-distributed for your data, then your best bet is to estimate the relative rates. (With only one region, cannot be estimated and will not be used.) Information on setting this option is available in the gamma parameter section of the LAMARC menu documentation. If your data consist of several microsatellites and several DNA or SNP regions, the real distribution of mutation rates probably. In practice, it needs more than two or three regions to make a reasonable estimate of. If you have only 2-3 regions, it is best to guess at their ratio, or fix to a value you find reasonable; estimation of is likely to fail because not enough information is. The unit of comparison is the single marker: one microsatellite, one base pair of DNA, one SNP. This approach can also be used for areas where the mutation rate variation is known for a contiguous stretch of markers, for example a DNA sequence containing both introns and exons. You can try fitting a gamma anyway, but be aware that you are fitting an inappropriate model. A better alternative is to guess the relative mutation rates: the large difference between microsatellites and DNA data probably trumps any differences among each group.
More than one data set data region or grouping in the report has the name


More than one data set data region or grouping in the report has the name More than one data set data region or grouping in the report has the name


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