abf2snpmod: abf2snpmod
In chr1swallace/GUESSFM: Using GUESS for Fine Mapping
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Convert an abf object to a snpmod
Usage
1
abf2snpmod(abf, expected, overdispersion = 1, nsnps = NULL)
Arguments
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
Value
a snpmod
Author(s)
Chris Wallace
See Also
snpprior
chr1swallace/GUESSFM documentation built on May 13, 2019, 6:17 p.m.
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Description Usage Arguments Value Author(s) See Also
Description
Convert an abf object to a snpmod
Usage
1 | abf2snpmod(abf, expected, overdispersion = 1, nsnps = NULL)
|
Arguments
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 |
Value
a snpmod
Author(s)
Chris Wallace
See Also
snpprior
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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