R: Detection of Outliers in Time Series

# Detection of Outliers in Time Series

## Documentation for package ‘tsoutliers’ version 0.6-10

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## 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