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composits
View on CRAN: Click
here
Download and install composits package within the R console
Install from CRAN:
install.packages("composits")
Install from Github:
library("remotes")
install_github("cran/composits") Install by package version:
library("remotes")
install_version("composits", "0.1.1") Attach the package and use:
library("composits")
Maintained by
Sevvandi Kandanaarachchi
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-30
Latest Update:
Description:
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages forecast tsoutliers otsad and anomalize to detect timeseries outliers Kandanaarachchi Menendez 2020 doi10.13140RG.2.2.32217.95845.
How to cite:
Sevvandi Kandanaarachchi (2020). composits: Compositional, Multivariate and Univariate Time Series Outlier
Ensemble. R package version 0.1.1, https://cran.r-project.org/web/packages/composits. Accessed 09 Oct. 2026.
Previous versions and publish date:
Other packages that cited composits R package
View composits citation profile
Other R packages that composits depends,
imports, suggests or enhances
Functions, R codes and Examples using
the composits R package
Some associated functions: Simulations . animate_ts_ensemble . apportion_scores_comp . apportion_scores_mv . comp_tsout_ens . draw_table . draw_table_html . get_coords . mv_tsout_ens . plot_biplot . plot_decomposed . plot_decomposed_all . spanish_morte . uv_tsout_ens .
Some associated R codes: Simulation_function.R . animate_ts_ensemble.R . apportion_scores_comp.R . apportion_scores_multivariate.R . composite_coodinates.R . composite_tsout_ensemble.R . dimred_methods_tsout_ensemble.R . draw_table.R . multivariate_tsout_ensemble.R . plot_decomposed.R . simulating_noout_ts.R . spanish_morte-data.R . tsoutliers2.R . univariate_tsout_ensemble.R . utils.R . Full composits package functions and examples
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