get_volatility()

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

Function

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

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: seqivolatility.

Author

Code and documentation: Yuqi Liang

References

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