Functions Comparison

This page gives a compact map for users who know the R sequence-analysis ecosystem and want to find the closest Sequenzo entry points in Python.

Sequenzo is not a line-by-line clone of TraMineR, WeightedCluster, TraMineRextras, or seqHMM. The goal is to preserve the main analytical workflows while using Python-style objects such as SequenceData, NumPy arrays, pandas data frames, and matplotlib-based plotting.

Typical Workflow

R workflow	Sequenzo entry point	Where to read next
Define state sequences with TraMineR::seqdef()	SequenceData	SequenceData
Compute sequence distances with TraMineR::seqdist()	get_distance_matrix()	Get Distance Matrix
Hierarchical clustering with stats::hclust() on a distance matrix	Cluster / ClusterResults	Hierarchical Clustering
PAM / medoid clustering with WeightedCluster::wcKMedoids()	KMedoids	KMedoids
Cluster quality evaluation	ClusterQuality	Cluster Quality

Module-Level Mapping Pages

Topic	Mapping page
Sequence Characteristics Indicators	Sequence Characteristics: Sequenzo and TraMineR Mapping
Statistical summaries	Statistical Helpers: Sequenzo and TraMineR Mapping
Visualization	Visualization Functions: Sequenzo and TraMineR Mapping
Event sequences	Event Sequences: Sequenzo and TraMineR Mapping
Multidomain / polyadic analysis	Multidomain: Sequenzo and TraMineR Mapping
Discrepancy analysis	Discrepancy Analysis: Sequenzo and TraMineR Mapping
Group comparison	Group Comparison: Sequenzo and TraMineR Mapping
Hidden Markov models	Markov Chain Models: Sequenzo and seqHMM Mapping

Naming Notes

• R arguments such as alphabet are often represented by states in Sequenzo, because SequenceData stores the categorical state space explicitly.
• Sequenzo uses snake_case function names, while R functions often use compact names such as seqdss, seqdur, or dissassoc.
• Many Sequenzo pages include a local "R Counterpart" or "TraMineR Parameter Mapping" section for argument-level translation.

For a runnable end-to-end path, start with the Quickstart and then use the Typical Workflow.