 Time Series Utilities and Analysis | Time Series Utilities and Analysis provides programming utilities for manipulating time series, and user programs |
| Rolling Time Series Estimation | time series estimation. contains (or will contain) most of the common time series functions predicted |
| Raster Time Series | manipulating and processing of raster time series data (e.g. a time series of satellite images). |
| Fractal Time Series Analysis | time series analysis, melding concepts from nonlinear dynamics (chaos) and stochastic fractal time series analysis |
| Intermediate and Long Memory Time Series | time series. Special focus is given to finite size effects. Broadly used time series objects |
| Time Series Database Interface | Time Series Database Interface (TSdbi) provides a common API to retrieve data from various sources |
| mskf | time series, such as vector auto-regressive time series models that have different parameter values |
| VBV - time series decomosition with VBV | time series
with VBV (Verallgemeinertes Berliner Verfahren, generalized Berlin method).
At the moment it just |
| NDVI Time Series extraction and analysis | time series from different satellites (AVHRR, Spot Vegetation, MODIS) and provide tools to display and analyze |
| PASTECS | Time Ecological Series) provides several methods to deal with space-time ecological series. This is the old repository |
| arimann | time series forecasting using Hyprid ARIMA and ANN. Combining how ARIMA handle time series structure |
| Modelling Financial Time Series with R | Time Series with R " which will be published soon. The project contains R codes |
| robust-ts: Robust Time Series | time series procedures from package stats. A target will be chapter 8 in "Robust |
| Breaks For Additive Season and Trend | time series into trend, season, and remainder components with methods for detecting and characterizing change |
| Wavelet Methods for Time Series Analysis | Time Series Analysis" written by Donald Percival and Andrew Walden. Cambridge, England: Cambridge University |
| zoo: Time Series Infrastructure | An S3 class with methods for totally ordered indexed
observations aimed particularly at irregular
time series. |
| Analysis of Count Time Series | fitting and assessment, prediction and intervention analysis of count time series following generalized linear models. |
| ctsem: Continuous time SEM | time series data. ctsem uses stochastic differential equations to estimate continuous dynamic processes from indicators |
| cardidates - Peaks in Environm. Series | cardidates: Methods for Peak Identification in Environmental Time Series |
| Structure-Time Diagram | tools to simply plot a structure-time diagram to represent dynamics of a structured time series. |
| xts - extensible time series | Provide uniform handling of R's different time-based data classes, allowing
user-level customization |
| Recknagel | lags and scales in long-term time-series of aquatic communities and water quality in lakes. |
| forecast: Forecasting functions for time | univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling. |
| lossDev | time series loss development model. Features include skewed-t distribution with time-varying scale parameter |
| Independent Components for Time Series | Estimation of independent components from stationary multivariate process via nonlinear decorrelation across components and time |
| surveillance | time series of counts, proportions and categorical data, as well as for the modeling of continuous |
