pymixef.inference module

Restartable deterministic bootstrap workflows.

class pymixef.inference.BootstrapResult(draws, failures, seed, resampling)

Bases: object

Parameter draws, failure accounting, and interval calculations.

Parameters:

• draws (DiagnosticTable)

• failures (tuple[Mapping[str, Any], ...])

• seed (int)

• resampling (str)

draws: DiagnosticTable

failures: tuple[Mapping[str, Any], ...]

seed: int

resampling: str

property successful_replicates: int

property failed_replicates: int

intervals(level=0.95, *, method='percentile')

Parameters:

• level (float)

• method (str)

Return type:

DiagnosticTable

to_dict()

Return type:

dict[str, Any]

pymixef.inference.bootstrap(fit_function, data, *, n_replicates, seed, cluster=None, checkpoint=None, resume=True)

Run a nonparametric row or cluster bootstrap with restartable checkpoints.

Parameters:

• fit_function (Callable[[Mapping[str, ndarray]], FitResult])

• data (Any)

• n_replicates (int)

• seed (int)

• cluster (str | None)

• checkpoint (str | Path | None)

• resume (bool)

Return type:

BootstrapResult