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Topic > Time Series |
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7 projects in result set.
0. FLR - A framework for fisheries modelling and management strategy simulation in R. Models can used to generate accurate simulations of fishery systems: stocks, fleets, assessment and management processes. http://flr-project.org |
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- Topic : Bayesian Statistics : Specific Model Fitting [Filter]
- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
- Topic : Time Series [Filter]
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Registered: 2008-12-10 14:47 |
1. RHmm - Simulations and estimations of discrete, univariate or multivariate gaussian, mixture of univariate or multivariate gaussian hidden Markov models. |
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Registered: 2007-10-22 08:05 |
2. Rwave: time-frequency analysis in 1-D - Rwave is a library of R functions which provide an environment for the time-frequency analysis of 1-D signals. It was originally written for Splus by Rene Carmona, Bruno Torresani, and Wen L. Hwang. |
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- Programming Language : Fortran [Filter]
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- Topic : Econometrics : Time Series Modelling [Filter]
- Topic : Finance : Time Series [Filter]
- Topic : Time Series [Filter]
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Registered: 2009-05-27 13:22 |
3. analogue - quantitative palaeoecology - analogue fits Modern Analogue Technique (MAT) and Weighted Averaging (WA) transfer function models for prediction of environmental data from species data. |
- Development Status : 4 - Beta [Filter]
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- Topic : Environmetrics [Filter]
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- Topic : Time Series [Filter]
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Registered: 2007-09-07 13:38 |
4. SegAnnot - SegAnnot calculates the least squares segmentation for piecewise constant annotated noisy signals. |
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Registered: 2012-11-27 16:58 |
5. xts - extensible time series - Provide uniform handling of R's different time-based data classes, allowing
user-level customization and extension, while simplifying cross-class interoperability.
This project has moved from R-Forge to GitHub :
https://github.com/joshuaulrich/xts |
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- Topic : Econometrics : Basic Time Series Infrastructure [Filter]
- Topic : Finance : Time Series [Filter]
- Topic : Time Series [Filter]
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Registered: 2008-01-03 18:11 |
6. surveillance - The R package 'surveillance' implements statistical methods for the modeling and monitoring of time series of counts, proportions and categorical data, as well as for the modeling of continuous-time point processes of epidemic phenomena. |
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- Topic : Social Sciences : Analysis of Categorical and Count Data [Filter]
- Topic : Spatial Data & Statistics : Point Pattern Analysis [Filter]
- Topic : Time Series [Filter]
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Registered: 2007-06-19 14:46 |