get_entropy_difference()
Computes entropy difference indicator for each sequence.
Function Usage
python
from sequenzo.sequence_characteristics_indicators import get_entropy_difference
result = get_entropy_difference(seqdata, norm=True)Entry Parameters
seqdata:SequenceDataobject.norm: return normalized entropy-difference values.
Returns
DataFrame with entropy-difference values by sequence.
TraMineR Mapping
- Equivalent TraMineR function: TraMineR internal
seqientdiff().
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.