hamsta.core.HAMSTA#

class hamsta.core.HAMSTA(k=None, S_thres=0.001, intercept_blksize=500, **kwargs)#

Heritability estimation from admixture mapping summary statistics

Parameters

  • k (Optional[int]) – Max number of singular values to be used

  • S_thres (float) – minimum value of S to be used

__init__(k=None, S_thres=0.001, intercept_blksize=500, **kwargs)#

Methods

__init__([k, S_thres, intercept_blksize])

compute_thres(fwer, U, S, intercept[, ...])

Compute significant threshold at given family-wise error rate

fit(S, intercept_design, N[, Z, rotated_Z, ...])

Fit to compute likelihood and MLE

to_dataframe()

Summarize estimation result in dataframe

to_dict()

Summarize estimation result in dict