get_volatility()

Computes objective volatility using visited-state proportion and transition proportion.

Function Usage

from sequenzo.sequence_characteristics_indicators import get_volatility
result = get_volatility(seqdata, w=0.5, with_missing=False, adjust=True)

Entry Parameters

• seqdata: SequenceData object.
• w: weight between visited-state and transition components.
• with_missing: include missing as state or ignore.
• adjust: use TraMineR-style adjusted visited proportion.

Returns

DataFrame with Volat for each sequence.

TraMineR Mapping

• Equivalent TraMineR function: TraMineR::seqivolatility().

Authors

Code and documentation: Yuqi Liang

See Also

• Sequence Characteristics Indicators Overview maps all indicator families.
• Sequence Summary Statistics vs Sequence Characteristics Indicators explains when to use indicators versus statistics or distances.

References

Ritschard, G. (2023), "Measuring the nature of individual sequences", Sociological Methods and Research, 52(4), 2016-2049. doi:10.1177/00491241211036156.