Define the class for the prior parameter of SuShiE model.

Variables:

pi : jax.Array

The prior probability for one SNP to be causal.

resid_var : jax.Array

The prior residual variance for all SNPs.

effect_covar : jax.Array

The prior effect sizes covariance matrix for all SNPs.

Infer Public-members¶

static Prior(_cls, pi: Array, resid_var: Array, effect_covar: Array)

Create new instance of Prior(pi, resid_var, effect_covar)

__repr__()

Return a nicely formatted representation string

__getnewargs__()

Return self as a plain tuple. Used by copy and pickle.