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| arimaID | Automatic Modeling of a Scalar Time Series |
| arimaSpec | Automatic Modeling of a Scalar Non-Seasonal Time Series |
| chksea | Check the Seasonality of Each Component of a Multiple Time Series |
| chktrans | Check for Possible Non-linear Transformations of a Multiple Time Series |
| clothing | Cloth sales in China |
| ClusKur | Cluster Identification Procedure using Projections on Directions of Extreme Kurtosis Coefficient |
| CPIEurope200015 | Price Indexes EUUS |
| dfmpc | Dynamic Factor Model by Principal Components |
| DLdata | Create an input data matrix for a Deep learning program that uses time series data. |
| draw.coef | Random Draw of Coefficients for AR Models and MA Models |
| edqplot | Plot the Observed Time Series and Selected EDQs (Empirical Dynamic Quantiles) |
| edqts | Empirical Dynamic Quantile for Visualization of High-Dimensional Time Series |
| gap.clus | Gap statistics |
| GCCclus | Clustering of Time Series Using the Generalized Cross Correlation Measure of Linear dependency |
| GCCmatrix | Generalized Cross-Correlation Matrix |
| gdpsimple6c8018 | Growth of GDP in 6 Countries |
| i.plot | Plot a Selected Time Series Using Quantile as the Background |
| i.qplot | Plot the Closest Series to a Given Timewise Quantile Series |
| i.qrank | Rank Individual Time Series According to a Given Timewise Quantile Series |
| Lambda.sel | Select the Penalty Parameter of LASSO-type Linear Regression |
| locations032017 | Locations of Air-Box Devices in Taiwan |
| mdec1to5 | Monthly Simple Returns of United States Market Portfolios. |
| mexpimpcnus | Monthly Exports and Imports of China and United States. |
| mts.plot | Plot Multiple Time Series in One Frame |
| mts.qplot | Plot Timewise Quantiles in One Frame |
| outlier.plot | Find Outliers Using an Upper and a Lower Timewise Quantile Series |
| outlierLasso | Outliers LASSO |
| outliers.hdts | Multivariate Outlier Detection |
| PElectricity1344 | Electricity Prices in New England and USA |
| quantileBox | Quantile Boxplot |
| rnnStream | Setup the Input and Output for a Recurrent Neural Network |
| sarimaSpec | Automatic Modeling of a Scalar Seasonal Time Series |
| scatterACF | Scatterplot of Two Selected-lag Autocorrelation Functions |
| SelectedSeries | Identified the Series with the Given Order |
| silh.clus | Find the Number of Clusters by the Standard Silhouette Statistics |
| sim.urarima | Generate Unit-root ARIMA Possibly Seasonal Time Series |
| sSelectedSeries | Selected Seasonal Time Series |
| sSummaryModel | Collects All Models Specified by "sarimaSpec" |
| stepp | Stepp |
| Stockindexes99world | World Stock Indexes |
| Summaryccm | Summary Statistics of Cross-Correlation Matrices |
| SummaryModel | Collects All Models Specified by "arimaSpec" |
| SummaryOutliers | Summary Outliers |
| TaiwanAirBox032017 | Hourly PM25 Measurements from Air-Box Devices in Taiwan |
| TaiwanPM25 | Hourly PM25 Measurements in Taiwan |
| temperatures | World Temperatures |
| ts.box | Boxplots of the Medians of Subperiods |
| tsBoost | Boosting with Simple Linear Regression |
| UMEdata20002018 | Quarterly Economic Series of the European Monetary Union |