bbpost_double: Posterior inference under the beta-binomial model with...
In dcgerard/updogAlpha: Using Parental Data for Offspring Genotyping

Posterior inference under the beta-binomial model with outliers. If od_param = 0, then this reduces to the binomial model with outliers.

1 2	bbpost_double(x, n, ploidy, prob_geno, seq_error, bias_val, od_param, outlier = FALSE, out_prop = 0.1, out_mean = 0.5, out_disp = 1/3)

`x`	The observed number of reference alleles.
`n`	The total number of reads.
`ploidy`	The ploidy of the species
`prob_geno`	The distribution of genotypes.
`seq_error`	The sequencing error rate.
`bias_val`	The bias parameter. A value of 1 indicates no bias.
`od_param`	The over-dispersion parameter. Should be in [0, 1). A value of 0 reduces to the binomial model.
`outlier`	A logical. Should we include the outlier model (`TRUE`) or not (`FALSE`)?
`out_prop`	The proportion of observations that are outliers.
`out_mean`	The mean of outlier distribution.
`out_disp`	The overdispersion parameter of the outlier distribution.