The main inference function for running SuShiE.

Parameters:

beta: Array | ndarray | bool_ | number | bool | int | float | complex¶

ArrayLike. GWAS effect sizes.

se: Array | ndarray | bool_ | number | bool | int | float | complex¶

ArrayLike. The vector of the inverse of GWAS Standard error

eqtl: Array | ndarray | bool_ | number | bool | int | float | complex¶

ArrayLike. eQTL Z scores.

perturb: Array | ndarray | bool_ | number | bool | int | float | complex¶

ArrayLike. Perturbation effect size matrix.

ld: Array | ndarray | bool_ | number | bool | int | float | complex¶

ArrayLike. The LD matrix.

perm_number: int = 500¶

int = 500. The number of permutations.

seed: int = 12345¶

int = 12345,

alt: bool = False¶

bool = False. Whether to use the alternative distribution assumption.

Returns:

A numpy array containing the inference results.

Return type:

mrpegResult