TraMineR: Trajectory miner: a toolbox for exploring and rendering sequence data. This package is a toolbox for sequence manipulation, description, rendering and more generally the mining of sequence data in the field of social sciences. Though it is primarily intended for analyzing state or event sequences that describe life courses such as family formation histories or professional careers its features also apply to many other kinds of categorical sequence data. It accepts many different sequence representations as input and provides tools for translating sequences from one format to another. It offers several statistical functions for describing and rendering sequences, for computing distances between sequences with different metrics among which optimal matching, the longest common prefix and the longest common subsequence, and simple functions for extracting the most frequent subsequences and identifying the most discriminating ones among them. A user’s guide can be found on the TraMineR web page.
Keywords for this software
References in zbMATH (referenced in 7 articles , 2 standard articles )
Showing results 1 to 7 of 7.
- Jouni Helske, Satu Helske: Mixture Hidden Markov Models for Sequence Data: The seqHMM Package in R (2017) arXiv
- Alexis Gabadinho and Gilbert Ritschard: Analyzing State Sequences with Probabilistic Suffix Trees: The PST R Package (2016) not zbMATH
- Volodymyr Melnykov: ClickClust: An R Package for Model-Based Clustering of Categorical Sequences (2016) not zbMATH
- Ritschard, Gilbert: Exploring sequential data (2012) ioport
- Alexis Gabadinho; Gilbert Ritschard; Nicolas Müller; Matthias Studer: Analyzing and Visualizing State Sequences in R with TraMineR (2011) not zbMATH
- Studer, Matthias; Ritschard, Gilbert; Gabadinho, Alexis; Müller, Nicolas S.: Discrepancy analysis of complex objects using dissimilarities (2010)
- Toni Giorgino: Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package (2009) not zbMATH