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Published December 24, 2025 | Version v1.2.0
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Sendrowski/fastDFE: v1.2.0

Authors/Creators

  • 1. Aarhus University

Description

  • Adding dominance coefficient h to DFE inference. h can either be fixed or inferred jointly with the DFE parameters. We can also introduce a relationship between h and S. When estimating h, precomputation over a grid of dominance coefficients takes some time. Implementation was validated with SLiM.
  • By default, parameters are now fixed to infer a semidominant (h=0.5) deleterious DFE without correcting for ancestral misidentification (eps=0).
  • Improved bootstrapping. By default, 2 runs are carried out per bootstrap sample and the most likely result is taken which previously controlled the number of retries in case of optimization failure). Bootstrapping is now also carried out by default, and mean and standard deviation across bootstraps are logged.
  • Initial optimization runs are now recorded
  • Added DFE class representing a frozen parametrization.
  • Expanded documentation on SFS parsing and DFE inference.
  • Allow to specify how the point estimate is determined when plotting discretized DFE with confidence intervals.
  • Refactored InferenceResult class.
  • Refactored methods returning CIs.

Files

Sendrowski/fastDFE-v1.2.0.zip

Files (284.7 MB)

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