SuSiEx-v1.1.2

Fixed the bug returned Segmentation Fault when the model failed convergent with multi-step = False.

SuSiEx-v1.1.1

Published version of the software.

SuSiEx-v1.1.0

Key features of this release:

Implementation of SuSiEx in C++ for enhanced performance and efficiency.
Estimating the post hoc probability for each credible set being causal in each population.
The ability to output the variant logarithm of the Bayes Factor for each population and credible set.

SuSiEx-v1.0.0

This is the initial release of SuSiEx. The method is built on the Sum of Single Effects (SuSiE) model.
Key features of this release:

• Implementation of the cross-population fine-mapping SuSiEx method
• Python-based code for efficient and flexible analysis
• Cross-population fine-mapping using GWAS summary statistics and LD reference panels