{"id":32204560,"url":"https://github.com/sevvandi/composits","last_synced_at":"2026-07-13T02:31:55.078Z","repository":{"id":56936009,"uuid":"277744956","full_name":"sevvandi/composits","owner":"sevvandi","description":null,"archived":false,"fork":false,"pushed_at":"2022-05-23T08:59:38.000Z","size":13285,"stargazers_count":0,"open_issues_count":2,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2026-05-25T18:26:02.384Z","etag":null,"topics":["compositional","detection","ensemble-model","multivariate-timeseries","outlier","time-series"],"latest_commit_sha":null,"homepage":"https://sevvandi.github.io/composits/","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sevvandi.png","metadata":{"files":{"readme":"README.Rmd","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-07-07T07:16:26.000Z","updated_at":"2022-05-18T11:01:44.000Z","dependencies_parsed_at":"2022-08-21T06:20:37.195Z","dependency_job_id":null,"html_url":"https://github.com/sevvandi/composits","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/sevvandi/composits","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sevvandi%2Fcomposits","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sevvandi%2Fcomposits/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sevvandi%2Fcomposits/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sevvandi%2Fcomposits/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sevvandi","download_url":"https://codeload.github.com/sevvandi/composits/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sevvandi%2Fcomposits/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":35408466,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-07-13T02:00:06.543Z","response_time":119,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["compositional","detection","ensemble-model","multivariate-timeseries","outlier","time-series"],"created_at":"2025-10-22T04:58:52.398Z","updated_at":"2026-07-13T02:31:55.070Z","avatar_url":"https://github.com/sevvandi.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"---\noutput: github_document\nbibliography: vignettes/bibliography.bib\n---\n\n\u003c!-- README.md is generated from README.Rmd. Please edit that file --\u003e\n\n```{r, include = FALSE}\nknitr::opts_chunk$set(\n  collapse = TRUE,\n  comment = \"#\u003e\",\n  fig.path = \"man/figures/README-\",\n  out.width = \"100%\"\n)\n```\n\n# composits \u003ca href='https://sevvandi.github.io/composits/'\u003e\u003cimg src='man/figures/logo.png' align=\"right\" height=\"138\" /\u003e\u003c/a\u003e\n\n \u003c!-- badges: start --\u003e\n  [![R-CMD-check](https://github.com/sevvandi/composits/workflows/R-CMD-check/badge.svg)](https://github.com/sevvandi/composits/actions)\n  \u003c!-- badges: end --\u003e\n\n\nThe goal of *composits* is to find outliers in compositional, multivariate and univariate time series. It is an outlier ensemble method that uses the packages ```forecast```, ```tsoutliers```, ```anomalize``` and ```otsad```. \n\n## Installation\n\nYou can install the released version of composits from [CRAN](https://CRAN.R-project.org) with:\n\n``` r\ninstall.packages(\"composits\")\n```\n\nYou can install the development version from [GitHub](https://github.com/) with:\n\n``` r\n# install.packages(\"devtools\")\ndevtools::install_github(\"sevvandi/composits\")\n```\n\n## Example\n\n```{r example}\nlibrary(composits)\nset.seed(100)\nn \u003c- 600\nx \u003c- sample(1:100, n, replace=TRUE)\nx[320] \u003c- 300\nx2 \u003c- sample(1:100, n, replace=TRUE)\nx3 \u003c- sample(1:100, n, replace=TRUE)\nX \u003c- cbind.data.frame(x, x2, x3)\nx4 \u003c- sample(1:100, n, replace=TRUE)\nX \u003c- cbind.data.frame(x, x2, x3, x4)\nout \u003c- mv_tsout_ens(X)\nout$all\nout$outliers\n```\n\nSee our  [website](https://sevvandi.github.io/composits/index.html) or our paper [@composits] for more examples.   \n\n# References\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsevvandi%2Fcomposits","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsevvandi%2Fcomposits","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsevvandi%2Fcomposits/lists"}