dual_discrim_shared_likelihood: Calculate likelihood of two beta-sharing candidate alpha-beta...
In alphabetr: Algorithms for High-Throughput Sequencing of Antigen-Specific T Cells

Description Usage Arguments Value

dual_discrim_shared_likelihood() is used within dual_top to calculate the likelihood that two alpha-beta pairs identified by bagpipe sharing the same beta chain derive from a two distinct clones sharing the same beta chain dual-alpha clone (instead of a single dual-alpha clone)

1 2	dual_discrim_shared_likelihood(est1, est2, err, numb_cells, numb_wells, binomials, multinomials)

`est1`	Frequency estimate of the first alpha-beta clone
`est2`	Frequency estimate of the second alpha-beta clone
`err`	Mean drop error rate
`numb_cells`	Vector containing the number of cells per well
`numb_wells`	Vector containing the number of wells with the sample sizes given by `numb_cells`
`binomials`	Calculations of the needed binomial coefficients; this is faster in R than in Rcpp (from my own tests)
`multinomials`	Calculations of the needed multinomial coefficients; this is way faster in R due to vectorization