Crate winsfs_core

Methods for inferring the site frequency spectrum from low-quality data using various forms of the expectation-maximisation algorithm.

Modules

em

Expectation-maximisation (“EM”) algorithms for SFS inference.

io

Utilities for working with SAF files stored on disk.

prelude

The types required for common usage.

saf

Site allelele frequency (“SAF”) likelihoods.

sfs

Multi-dimensional site frequency spectra (“SFS”).

Macros

saf1d

Creates a SAF matrix of a single population.

saf2d

Creates a joint SAF matrix of two populations.

sfs1d

Creates an unnormalised 1D SFS.

sfs2d

Creates an unnormalised 2D SFS.

Functions

set_threads

Sets the number of threads to use for parallelization.