| Name : R-PST
| |
| Version : 0.94.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.4
| Date : 2024-06-14 11:34:08
|
| Group : Development/Libraries/Other
| Source RPM : R-PST-0.94.1-lp153.1.4.src.rpm
|
| Size : 0.64 MB
| |
| Packager : (none)
| |
| Summary : Probabilistic Suffix Trees and Variable Length Markov Chains
|
Description :
Provides a framework for analysing state sequences with probabilistic
suffix trees (PST), the construction that stores variable length Markov
chains (VLMC). Besides functions for learning and optimizing VLMC
models, the PST library includes many additional tools to analyse
sequence data with these models: visualization tools, functions for
sequence prediction and artificial sequences generation, as well as for
context and pattern mining. The package is specifically adapted to the
field of social sciences by allowing to learn VLMC models from sets of
individual sequences possibly containing missing values, and by
accounting for case weights. The library also allows to compute
probabilistic divergence between two models, and to fit segmented VLMC,
where sub-models fitted to distinct strata of the learning sample are
stored in a single PST. This software results from research work
executed within the framework of the Swiss National Centre of
Competence in Research LIVES, which is financed by the Swiss National
Science Foundation. The authors are grateful to the Swiss National
Science Foundation for its financial support.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
