get_badness_index()

Computes badness as a precarity-weighted integration across states.

Function

from sequenzo import get_badness_index
result = get_badness_index(seqdata, pow=1.0, with_missing=False)

Parameters

• seqdata: SequenceData object.
• pow: integration weighting exponent.
• with_missing: include missing as regular state.
• optional ranking inputs: state_order, state_equiv, stprec.

Returns

DataFrame with Bad values per sequence.

TraMineR Mapping

• Equivalent TraMineR function: seqibad.

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.