CRAN/E | composits

composits

Compositional, Multivariate and Univariate Time Series Outlier Ensemble

Installation

About

A compositional, multivariate and univariate time series outlier ensemble. It uses the four R packages 'forecast', 'tsoutliers', 'otsad' and 'anomalize' to detect time series outliers (Kandanaarachchi, Menendez 2020) doi:10.13140/RG.2.2.32217.95845.

sevvandi.github.io/composits/

Key Metrics

Version 0.1.1
R ≥ 3.4.0
Published 2022-05-24 703 days ago
Needs compilation? no
License GPL-3
CRAN checks composits results

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Maintainer

Maintainer

Sevvandi Kandanaarachchi

sevvandik@gmail.com

Authors

Sevvandi Kandanaarachchi

aut / cre

Patricia Menendez

aut

Ursula Laa

aut

Ruben Loaiza-Maya

aut

Material

README
Reference manual
Package source

Vignettes

composits

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

composits archive

Depends

R ≥ 3.4.0

Imports

otsad
tsoutliers
forecast
anomalize
dplyr
tibble
rlang
pracma
dobin
ICS
fastICA
gridExtra
grid
ggplot2
tidyr
kableExtra

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