Detection of Outliers in Time Series
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Documentation for package ‘tsoutliers’ version 0.6-10
Help Pages
| bde9915 | Data Set: Working Paper 'bde9915' |
| calendar.effects | Calendar Effects |
| coefs2poly | Product of the Polynomials in an ARIMA Model |
| discard.outliers | Stage II of the Procedure: Discard Outliers |
| find.consecutive.outliers | Find outliers at consecutive time points |
| hicp | Data Set: Harmonised Indices of Consumer Prices |
| ipi | Data Set: Industrial Production Indices |
| JarqueBera.test | Jarque-Bera Test for Normality |
| locate.outliers | Stage I of the Procedure: Locate Outliers (Baseline Function) |
| locate.outliers.iloop | Stage I of the Procedure: Locate Outliers (Loop Around Functions) |
| locate.outliers.oloop | Stage I of the Procedure: Locate Outliers (Loop Around Functions) |
| outliers | Define Outliers in a Data Frame |
| outliers.effects | Create the Pattern of Different Types of Outliers |
| outliers.regressors | Regressor Variables for the Detection of Outliers |
| outliers.tstatistics | Test Statistics for the Significance of Outliers |
| plot.tsoutliers | Display Outlier Effects Detected by 'tsoutliers' |
| print.mhtest | Jarque-Bera Test for Normality |
| print.tsoutliers | Print 'tsoutliers' object |
| remove.outliers | Stage II of the Procedure: Discard Outliers |
| tso | Automatic Procedure for Detection of Outliers |
| tso0 | Automatic Procedure for Detection of Outliers |
| _PACKAGE | Automatic Detection of Outliers in Time Series |