bbpost_tot: Posterior inference for each individual.
In dcgerard/updogAlpha: Using Parental Data for Offspring Genotyping

Posterior inference for each individual.

1 2	bbpost_tot(ocounts, osize, ploidy, prob_geno, seq_error, bias_val, od_param, outlier = FALSE, out_prop = 0.1, out_mean = 0.5, out_disp = 1/3)

`ocounts`	The vector of counts of the reference allele of the offspring.
`osize`	The vector of total reads of the offspring.
`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.