get_cross_sectional_entropy()

Computes state distribution and entropy across time positions.

Function

from sequenzo import get_cross_sectional_entropy
result = get_cross_sectional_entropy(seqdata, weighted=True, norm=True, return_format="tidy")

Parameters

• seqdata: SequenceData object.
• weighted: use sequence weights in frequency calculation.
• norm: return normalized entropy.
• return_format: "tidy", "wide", or "dict".

Returns

Time-wise cross-sectional distribution and entropy outputs.

TraMineR Mapping

• Equivalent TraMineR function: seqstatd.

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.