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 |
FREDMDApril19 |
Federal Reserve Bank at St Louis. |
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 |