get_badness_index()

Computes badness as a precarity-weighted integration across states.

Function Usage

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

Entry 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: TraMineR::seqibad().

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.