full_sib_mcmc_initialize: initilize all the variables to do a full sibling analysis...
In eriqande/fullsniplings: Full sibling reconstruction from SNP data
Description
Usage
Arguments
Value
Description
This returns everything in a named list suitable for do.calling
the MCMC sweep function.
Usage
1
full_sib_mcmc_initialize(genos, mu, pair_prob_cutoff = 0.001)
Arguments
genos
The data frame of SNP genotypes
mu
Genotyping error rates per locus (recycles as necessary)
pair_prob_cutoff
the fraction of simulated full sib pairs that should have a
log-likelihood ratio for the sibling relationship less than the cutoff that will be used.
(The value pair_prob_cutoff is used to determine the which pairs have a high enough
log-likelihood ratio to be considered as possible full siblings.)
Value
This returns a list with components that are documented as the parameters that
get passed to
eriqande/fullsniplings documentation built on May 16, 2019, 8:45 a.m.
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Description Usage Arguments Value
Description
This returns everything in a named list suitable for do.calling the MCMC sweep function.
Usage
1 | full_sib_mcmc_initialize(genos, mu, pair_prob_cutoff = 0.001)
|
Arguments
genos |
The data frame of SNP genotypes |
mu |
Genotyping error rates per locus (recycles as necessary) |
pair_prob_cutoff |
the fraction of simulated full sib pairs that should have a log-likelihood ratio for the sibling relationship less than the cutoff that will be used. (The value pair_prob_cutoff is used to determine the which pairs have a high enough log-likelihood ratio to be considered as possible full siblings.) |
Value
This returns a list with components that are documented as the parameters that get passed to
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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