Dear R users,
The TraMineR package for mining, describing and visualizing sequences of
states or events, and more generally discrete sequential data has been
updated to version 1.2. 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. These are
* 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 using several metric
(Optimal matching, longest common prefix, longest common postfix,
longest common subsequence)
* ANOVA-like analysis of sequences and tree structured ANOVA from
dissimilarities
* Extracting frequent event subsequences
* Identifying most discriminating event subsequences
More information about TraMineR can be found here:
http://mephisto.unige.ch/traminer/
Cheers,
The TraMineR team.
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