per_locus_means_and_vars: Compute the mean and variance of the single-locus genotype...
In rubias: Bayesian Inference from the Conditional Genetic Stock Identification Model
Description
Usage
Arguments
Value
View source: R/per_locus_means_and_vars.R
Description
This assumes that you have compiled params for a reference data set and then it just
calls rcpp_per_locus and then summarizes the results.
Usage
1
per_locus_means_and_vars(par_list)
Arguments
par_list
genetic data converted to the param_list format by tcf2param_list. This should be
include genotypes only for the reference individuals.
Value
Returns a list with two components, mean and var, each one a matrix that has
C (number of collections) rows and L (number of loci) columns, giving the mean (or variance)
of the genotype likelihoods in the individuals in that collection at that locus.
rubias documentation built on Feb. 10, 2022, 1:06 a.m.
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Description Usage Arguments Value
View source: R/per_locus_means_and_vars.R
Description
This assumes that you have compiled params for a reference data set and then it just calls rcpp_per_locus and then summarizes the results.
Usage
1 | per_locus_means_and_vars(par_list)
|
Arguments
par_list |
genetic data converted to the param_list format by |
Value
Returns a list with two components, mean and var, each one a matrix that has C (number of collections) rows and L (number of loci) columns, giving the mean (or variance) of the genotype likelihoods in the individuals in that collection at that locus.
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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