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Topic > Time Series |
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9 projects in result set.
0. 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]
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Registered: 2008-01-03 18:11 |
1. 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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Registered: 2009-05-27 13:22 |
2. 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 |
3. AICTS II - VAR, SVAR, VECM and SVECM models: Estimation, prediction, impulse response analysis, forecast error variance decomposition, diagnostic testing. |
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Registered: 2007-08-23 15:35 |
4. Wave (music, speech, ...) analyses in R - tuneR is a collection of tools for wave analyses such as the analysis of music, handling (huge) wave files, transcription of music, speech analysis, ... |
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Registered: 2007-06-11 10:08 |
5. spatio-temporal data in R - Classes and methods for handling and analyzing referenced spatio-temporal data in R, building upon sp, zoo and xts. |
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Registered: 2012-12-14 12:27 |
6. SegAnnot - SegAnnot calculates the least squares segmentation for piecewise constant annotated noisy signals. |
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Registered: 2012-11-27 16:58 |
7. AICTS I - Unit root and cointegration tests encountered in applied econometric analysis. |
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Registered: 2007-08-23 15:29 |
8. zoo: Time Series Infrastructure - An S3 class with methods for totally ordered indexed
observations aimed particularly at irregular
time series. |
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Registered: 2007-01-31 15:02 |