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Topic > Time Series |
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8 projects in result set.
0. waveslim: Wavelet methods for 1/2/3D - Basic wavelet routines for the processing/analysis/inference of time series, images and 3D arrays. The code provided here is based on Percival and Walden (2000); Gencay, Selcuk and Whitcher (2001); Kingsbury (1999); and Selesnick (200?). |
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Registered: 2009-02-26 17:20 |
1. Analysis of Count Time Series - R package which provides likelihood-based methods for model fitting and assessment, prediction and intervention analysis of count time series following generalized linear models. |
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- Topic : Econometrics : Structural Change [Filter]
- Topic : Social Sciences : Analysis of Categorical and Count Data [Filter]
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Registered: 2013-04-04 13:48 |
2. candlesticks - candlesticks: filter Japanese Candlestick Patterns like Doji, Engulfing, Harami, etc. out of OHLC price data. |
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Registered: 2012-01-06 14:40 |
3. Eddy-Covariance Data Processing - --- This r-foge procject is deprecated. ---
Now on github: https://github.com/bgctw/REddyProc
and on CRAN: http://cran.r-project.org/package=REddyProc |
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- Topic : Environmetrics [Filter]
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Registered: 2013-05-27 12:20 |
4. T-LoCoH - T-LoCoH is a method for constructing home ranges and exploring spatio-temporal patterns in movement data. Tailored for GPS data, it can produce maps of time use and behavior indices. General purpose functions including data cleaning and animations. |
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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
- Topic : Spatial Data & Statistics : Point Pattern Analysis [Filter]
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Registered: 2013-03-12 23:47 |
5. simsalabim - This package currently implements Singular System/Spectrum Analysis (SSA) and Phase Synchronisation Indices. |
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- Topic : Econometrics : Time Series Modelling [Filter]
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Registered: 2008-10-03 08:07 |
6. cardidates - Peaks in Environm. Series - cardidates: Methods for Peak Identification in Environmental Time Series |
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Registered: 2008-12-12 11:07 |
7. Extreme Values in R (evir) - Extreme Value in R: Functions for extreme value theory, which may be divided into the following groups; exploratory data analysis, block maxima, peaks over thresholds (univariate and bivariate), point processes, gev/gpd distributions. |
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- Topic : Econometrics : Time Series Modelling [Filter]
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- Topic : Time Series [Filter]
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Registered: 2011-03-21 13:20 |