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3 projects in result set.
0. Multiple Cue Probability Learning - mcplR offers a flexible (S4) framework to investigate multiple cue probability learning (MCPL). mcplR incorporates a number of learning models (Rescorla-Wagner, GCM, ALCOVE, etc) in a general state-space framework, where new models can be easily added.
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Registered: 2007-09-07 14:37 |
1. memisc
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Registered: 2013-02-08 10:55 |
2. Sequence analysis for social scientists - TraMineR is intended for mining and visualizing sequences of states or events. Its primary aim is the analysis of longitudinal data in the social science field but many of its features may also apply to non temporal data such as text or DNA sequences.
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Registered: 2010-04-13 10:26 |
