Expand description
Expectation-maximisation (“EM”) algorithms for SFS inference.
Modules§
- likelihood
- Types describing likelihood of the data given an SFS.
- stopping
- Stopping rules used for deciding convergence for EM algorithms.
Structs§
- Inspect
- A combinator for types that allows inspection after each E-step.
- Standard
Em - A runner of the standard EM algorithm.
- Window
- A window of block SFS estimates, used in window EM.
- Window
Em - A runner of the window EM algorithm.
Traits§
- Em
- A type capable of running an EM-like algorithm for SFS inference using data in-memory.
- EmSite
- A type of SAF site that can be used as input for EM.
- EmStep
- An EM-like type that runs in steps.
- Stream
EmSite - A type of SAF site that can be used as input for streaming EM.
- Streaming
Em - A type capable of running an EM-like algorithm for SFS inference by streaming through data.
Type Aliases§
- Parallel
Standard Em - A parallel runner of the standard EM algorithm.