graphld.simulate

June 6, 2026 ยท View on GitHub

Simulation of GWAS summary statistics.

Summary statistics can be simulated from their asymptotic distribution without individual-level genotype data. Effect sizes are drawn from a flexible mixture distribution, with Python API support for annotation-dependent effect-size scaling and frequency-dependent architectures. Annotation-dependent polygenicity is reserved for future support.

For usage examples, see the Simulation guide.

::: graphld.simulate options: show_root_heading: true members_order: source