scDesign3Py.perform_lrt

scDesign3Py.perform_lrt(alter_marginal: rpy2.robjects.vectors.ListVector | rpy2.rlike.container.OrdDict | dict, null_marginal: rpy2.robjects.vectors.ListVector | rpy2.rlike.container.OrdDict | dict)

Perform the likelihood ratio test

Perform the likelihood ratio test to compare two dicts of marginal models.

Details:

The function takes two dicts of marginal models (by default, the first dict is the alternative and the second is the null) from @fit_margnial. Note that LRT only makes sense for NESTED models. This can be quite tricky if you use penalized-splines (e.g., for trajectory data).

Arguments:

alter_marginal: rpy2.robject.vectors.ListVector or rpy2.rlike.container.OrdDict or dict

A dict of marginal models from the alternative hypothesis.

null_marginal: rpy2.robject.vectors.ListVector or rpy2.rlike.container.OrdDict or dict

A dict of marginal models from the null hypothesis. It must be strictly nested in the alternative model.

Output:

pandas.DataFrame

A dataframe of the LRT result.