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 Topic > Social Sciences
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8 projects in result set.
0. 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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- Development Status : 5 - Production/Stable [Filter]
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Activity Percentile: 70.00
Registered: 2010-04-13 10:26 |
1. NetSim: A social network simulation tool - A tool to simulate social networks and individual behavior by combining different dynamic models.
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- Development Status : 4 - Beta [Filter]
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Registered: 2013-01-10 15:10 |
2. TravelR (Travel Demand Modeling in R) - The TravelR project hosts tools for building travel demand models in R, including highway assignment with useful practical features such as multi-class equilibrium assignment, network turn penalties, select link analysis, and network skims.
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- Development Status : 3 - Alpha [Filter]
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Registered: 2010-04-14 18:34 |
3. gEcon - gEcon is a framework for developing and solving large scale DSGE models. It consists of simple and intuitive model description language and an interface with a set of solvers in R. FOCs, steady state and linearisation equations are derived automatically.
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- Development Status : 5 - Production/Stable [Filter]
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- Topic : Econometrics : Time Series Modelling [Filter]
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- Topic : Time Series [Filter]
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Registered: 2013-10-06 11:13 |
4. QCA - Qualitative Comparative Analysis - This package provides functions for performing Qualitative Comparative Analysis (csQCA, tQCA, mvQCA and fsQCA).
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- Development Status : 6 - Mature [Filter]
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Registered: 2010-09-13 08:05 |
5. blockmodeling - An R package for Generalized and classical blockmodeling of valued networks
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- Development Status : 3 - Alpha [Filter]
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- Topic : Cluster Analysis [Filter]
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Registered: 2008-06-18 10:00 |
6. 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 |
7. memisc
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- Development Status : 4 - Beta [Filter]
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Registered: 2013-02-08 10:55 |
