Diagnostics (tsbootstrap.diagnostics)

diagnose(X): inspect a series and recommend bootstrap methods.

A lightweight, honest advisor, it measures serial dependence and stationarity and maps them to suitable method specs. It does not choose for you; it explains what it sees and what fits.

class tsbootstrap.diagnostics.Diagnosis(n_obs: int, n_series: int, lag1_autocorr: float, dependent: bool, nonstationary: bool, recommended_methods: tuple[str, ...], notes: tuple[str, ...])

Bases: object

What diagnose found and what it recommends.

tsbootstrap.diagnostics.diagnose(X: object) → Diagnosis

Inspect X and recommend bootstrap methods for it.