abf2snpmod.RdConvert an abf object to a snpmod
abf2snpmod(abf, expected, overdispersion = 1, nsnps = NULL)
| abf | object returned by abf.calc |
|---|---|
| expected | expected number of SNPs in a model |
| overdispersion | overdispersion parameter. Setting this to 1 gives a binomial prior. Values < 1 are nonsensical: if you really believe the prior should be underdispersed relative to a binomial distribution, consider using a hypergeometric prior. |
| nsnps | number of SNPs in the region, optional, but required if not found in output of abf |
a snpmod