CRAN/E | tsoutliers

tsoutliers

Detection of Outliers in Time Series

Installation

About

Detection of outliers in time series following the Chen and Liu (1993) doi:10.2307/2290724 procedure. Innovational outliers, additive outliers, level shifts, temporary changes and seasonal level shifts are considered.

jalobe.com

Key Metrics

Version 0.6-10
R ≥ 3.0.0
Published 2024-02-12 77 days ago
Needs compilation? no
License GPL-2
CRAN checks tsoutliers results

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Maintainer

Maintainer

Javier López-de-Lacalle

javlacalle@yahoo.es

Authors

Javier López-de-Lacalle

Material

NEWS
Reference manual
Package source

In Views

TimeSeries

Vignettes

tsoutliers-intro

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

tsoutliers archive

Depends

R ≥ 3.0.0

Imports

forecast
stats

Reverse Imports

dsa
SLBDD
UComp