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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