Package: TraMineR
Version: 1.2-1
Date: 2009-05-13
Title: Sequences and trajectories mining for social scientists
Author: Alexis Gabadinho <alexis.gabadinho@unige.ch>, Matthias Studer
<matthias.studer@unige.ch>, Nicolas S. Muller
<nicolas.muller@unige.ch>, Gilbert Ritschard
<gilbert.ritschard@unige.ch>.
Maintainer: Alexis Gabadinho <alexis.gabadinho@unige.ch>
Depends: R (>= 2.7.1), RColorBrewer, boot
Suggests: cluster
Description: This package is a toolbox for sequence manipulation,
description, rendering and more generally sequence data mining
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 apply indeed also to many other kinds of
categorical sequence data. It accepts as input many different
sequence representations 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 TraMineR's web page.
License: GPL (>= 2)
URL: http://mephisto.unige.ch/traminer
Packaged: Wed May 13 10:31:47 2009; gabuntu
Repository: CRAN
Date/Publication: 2009-05-13 19:16:39

Package: TraMineR
Version: 1.2
Date: 2009-04-09
Title: Sequences and trajectories mining for social scientists
Author: Alexis Gabadinho <alexis.gabadinho@unige.ch>, Matthias Studer
<matthias.studer@unige.ch>, Nicolas S. Muller
<nicolas.muller@unige.ch>, Gilbert Ritschard
<gilbert.ritschard@unige.ch>.
Maintainer: Alexis Gabadinho <alexis.gabadinho@unige.ch>
Depends: R (>= 2.7.1), RColorBrewer, boot
Suggests: cluster
Description: This package is a toolbox for sequence manipulation,
description, rendering and more generally sequence data mining
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 apply indeed also to many other kinds of
categorical sequence data. It accepts as input many different
sequence representations 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 TraMineR's web page.
License: GPL (>= 2)
URL: http://mephisto.unige.ch/traminer
Packaged: Wed Apr 15 09:43:02 2009; gabuntu
Repository: CRAN
Date/Publication: 2009-04-15 08:29:00