{"id":13571248,"url":"https://github.com/config-i1/smooth","last_synced_at":"2026-02-05T16:01:05.939Z","repository":{"id":49725413,"uuid":"50348077","full_name":"config-i1/smooth","owner":"config-i1","description":"The set of functions used for time series analysis and in forecasting.","archived":false,"fork":false,"pushed_at":"2025-03-30T19:33:22.000Z","size":9707,"stargazers_count":90,"open_issues_count":12,"forks_count":21,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-03-30T20:25:50.563Z","etag":null,"topics":["arima","arima-forecasting","ces","ets","exponential-smoothing","forecast","r-package","state-space","time-series"],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/config-i1.png","metadata":{"files":{"readme":"README.md","changelog":"NEWS","contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2016-01-25T12:06:26.000Z","updated_at":"2025-03-30T19:33:26.000Z","dependencies_parsed_at":"2024-02-13T20:24:49.648Z","dependency_job_id":"57c071d5-b122-4d0a-ac93-f56b994aee13","html_url":"https://github.com/config-i1/smooth","commit_stats":{"total_commits":2292,"total_committers":7,"mean_commits":"327.42857142857144","dds":0.2853403141361257,"last_synced_commit":"11470c29a81b418b2e226bc2e14622cee105cff7"},"previous_names":[],"tags_count":28,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/config-i1%2Fsmooth","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/config-i1%2Fsmooth/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/config-i1%2Fsmooth/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/config-i1%2Fsmooth/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/config-i1","download_url":"https://codeload.github.com/config-i1/smooth/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247146700,"owners_count":20891549,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["arima","arima-forecasting","ces","ets","exponential-smoothing","forecast","r-package","state-space","time-series"],"created_at":"2024-08-01T14:01:00.192Z","updated_at":"2026-02-05T16:01:05.865Z","avatar_url":"https://github.com/config-i1.png","language":"R","funding_links":[],"categories":["📦 Packages"],"sub_categories":["R"],"readme":"# smooth\n\nR:\n\n[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/smooth)](https://cran.r-project.org/package=smooth)\n[![Downloads](https://cranlogs.r-pkg.org/badges/smooth)](https://cran.r-project.org/package=smooth)\n[![R-CMD-check](https://github.com/config-i1/smooth/actions/workflows/test.yml/badge.svg)](https://github.com/config-i1/smooth/actions/workflows/test.yml)\n\nPython:\n\n\n\nThe **smooth** package implements Single Source of Error (SSOE) state-space models for forecasting and time series analysis, available for both R and Python.\n\n![hex-sticker of the smooth package for R](https://github.com/config-i1/smooth/blob/master/man/figures/smooth-web.png?raw=true)\n\n## Installation\n\n**R (CRAN):**\n```r\ninstall.packages(\"smooth\")\n```\n\n**R (github):**\n```r\nif (!require(\"remotes\")) install.packages(\"remotes\")\nremotes::install_github(\"config-i1/smooth\")\n```\n\n\n**Python (PyPI):**\n```bash\n# Not yet available\n```\n\n**Python (github):**\n```bash\npip install \"git+https://github.com/config-i1/smooth.git@master#subdirectory=python\"\n```\n\nFor development versions and system requirements, see the [Installation wiki page](https://github.com/config-i1/smooth/wiki/Installation).\n\n## Quick Examples\n\n### R\n\n```r\nlibrary(smooth)\n\n# ADAM - the recommended function for most tasks\nmodel \u003c- adam(y, model=\"ZXZ\", lags=12)\nforecast(model, h=12)\n\n# Exponential Smoothing\nmodel \u003c- es(y, model=\"ZXZ\", lags=12)\n\n# Automatic model selection for ETS+ARIMA and distributions\nmodel \u003c- auto.adam(y, model=\"ZZZ\",\n                   orders=list(ar=2, i=2, ma=2, select=TRUE))\n```\n\n### Python\n\n```python\nfrom smooth import ADAM, ES\n\n# ADAM model\nmodel = ADAM(model=\"ZXZ\", lags=12)\nmodel.fit(y)\nmodel.predict(h=12)\n\n# Exponential Smoothing\nmodel = ES(model=\"ZXZ\")\nmodel.fit(y)\n```\n\n## Documentation\n\nFull documentation is available on the **[GitHub Wiki](https://github.com/config-i1/smooth/wiki)**, including:\n\n- [ADAM](https://github.com/config-i1/smooth/wiki/ADAM) - Main unified ETS/ARIMA framework\n- [Function reference](https://github.com/config-i1/smooth/wiki) - All functions and methods\n- [Installation guide](https://github.com/config-i1/smooth/wiki/Installation) - Dependencies and troubleshooting\n\n**Book:** Svetunkov, I. (2023). *Forecasting and Analytics with the Augmented Dynamic Adaptive Model (ADAM)*. Chapman and Hall/CRC. Online: https://openforecast.org/adam/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fconfig-i1%2Fsmooth","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fconfig-i1%2Fsmooth","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fconfig-i1%2Fsmooth/lists"}