Description Usage Arguments Value
This is wrapper around math_fit that fits the presence absence model to each pair present in the data set.
1 |
data |
a data frame or tibble it will be split by chr pos and pair_id |
Nb_max |
The maximum bottleneck size to test |
model |
PA or BetaBin will fit lambda of a zero truncated Poisson. PA-straight, BetaBin-straight will fit 1 Nb. |
threshold |
limit of variant calling detection |
acc |
a data frame with accuracy metrics |
... |
other columns to group by in final output. |
a tibble with columns pair_id,lambda,LL (log likelihood), and pair_id if desired.
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