What is TraMineR?
TraMineR is a
R-package for mining, describing and visualizing
sequences of states or events, and more generally discrete sequential data. Its primary aim is the analysis of biographical longitudinal data in the social sciences, such as data describing careers or family trajectories. Most of its features apply however also to non temporal data such as text or DNA sequences for instance.
- Handling of longitudinal data and conversion between various sequence formats
- Plotting sequences (density plot, frequency plot, index plot and more)
- Centro-type and heterogeneity measure of a set of sequences
- Individual longitudinal characteristics of sequences (length, time in each state, longitudinal entropy, turbulence and more)
- Sequence transversal characteristics by age point (transversal state distribution, transversal entropy, modal state)
- Other aggregated characteristics (transition rates, average duration in each state, sequence frequency)
- Dissimilarities between pairs of sequences (Optimal matching, longest common subsequence, Hamming, Dynamic Hamming, Multichannel and more)
- ANOVA-like analysis of sequences and tree structured ANOVA from dissimilarities
- Extracting frequent event subsequences
- Identifying most discriminating event subsequences
- Association rules between subsequences (coming soon)
Click
here for a short preview of what TraMineR can do for you!
What does TraMineR stand for?
It is a contraction of Life Trajectory Miner for R (indeed, as some may suspect it, it was also inspired by the authors' taste for Gewurztraminer wine).
Who is developing TraMineR?
It is developed at the
Department of Econometrics and
Laboratory of Demography,
University of Geneva, Switzerland, within a project on
Mining event histories under grants FN-100012-116416 and FN-100015-122230 of the
Swiss National Foundation for Scientific Research.
