Changelog

Unreleased

Add separate binaries for model fitting and bootstrapping.
- Potentially gives approx. linear decrease in runtime with increasing number of cores
- Consider this experimental and undocumented
- See issue 4

0.3.0 (2022-04-06)

Switched from ChaCha20 to Pcg64. This will change the output as compared to earlier versions even with the same seed.
Changed lots of little implementation details.
- On the Lee dataset with default settings, as compared version 0.2.1 it is...
- About 3x faster
- And uses 60% of the memory
Version tags are no longer prefixed with v

0.2.1 (2021-01-22)

Reduced memory usage.
Fixed some Clippy warnings.

0.2.0 (2021-01-19)

Changed the way the MC iterations are stored. Now divnet-rs uses 1/3 less RAM than before!
Updated the rand crate dependencies.
Makefile for testing the Lee phylum dataset during development.
Documentation for:
- Properly setting MC iter and MC burn options
- Setting OpenBLAS threads
- Getting sample order correct in the sample data file
- Seeding the random number generator

0.1.1 (2021-01-16)

Better installation instructions
Add a full worked example using the Lee dataset from DivNet
Add documentation
When compiling, divnet-rs now uses the system installed OpenBLAS library rather that using the one bundled with openblas-src.
The eigenvector test failed on certain machines because the sign of the eigenvectors is arbitrary. This has been fixed.

0.1.0 (2021-01-14)

Initial commit!