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9 projects in result set.
0. depmixS4 - hidden Markov model classes - Note: we have moved development over to GitHub at https://github.com/depmix/depmixS4
depmixS4 fits hidden Markov models on multi-var time series, subject to constraints on the parameters. Responses are from glm and some additional distributions; transitions can be time-dependent.
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Registered: 2008-02-27 11:12 |
1. 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 |
2. qualV - Qualitative Validation Criteria - Package qualV provides quantitative and qualitative criteria to compare models with data and to measure similarity of patterns. Specific attention is payed to problems with systematic differences and time shifts.
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Registered: 2008-02-28 15:45 |
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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Registered: 2013-05-27 12:20 |
4. analogue - quantitative palaeoecology - analogue fits Modern Analogue Technique (MAT) and Weighted Averaging (WA) transfer function models for prediction of environmental data from species data.
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Registered: 2007-09-07 13:38 |
5. 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 |
6. Optimist - This project will comprise different approaches in global and discrete optimization, e.g. a simple evolutionary algorithm for global problems, some 'knapsack' procedures and discrete optimization routines, and a collection of optimization test routines.
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Registered: 2011-03-14 17:35 |
7. simsalabim - This package currently implements Singular System/Spectrum Analysis (SSA) and Phase Synchronisation Indices.
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Registered: 2008-10-03 08:07 |
8. 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]
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Registered: 2013-04-04 13:48 |
