{"id":17190898,"url":"https://github.com/dfm/acor","last_synced_at":"2025-04-13T19:31:22.966Z","repository":{"id":57407993,"uuid":"2936981","full_name":"dfm/acor","owner":"dfm","description":"Estimate the autocorrelation time of time-series data very quickly","archived":false,"fork":false,"pushed_at":"2023-06-18T15:53:53.000Z","size":26,"stargazers_count":33,"open_issues_count":5,"forks_count":19,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-03-27T10:21:33.378Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"C","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dfm.png","metadata":{"files":{"readme":"README.rst","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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2011-12-08T01:01:49.000Z","updated_at":"2024-10-29T22:01:22.000Z","dependencies_parsed_at":"2024-06-21T14:08:31.506Z","dependency_job_id":"cbb06497-d11c-46f4-aeef-698659eeeb2a","html_url":"https://github.com/dfm/acor","commit_stats":{"total_commits":24,"total_committers":3,"mean_commits":8.0,"dds":"0.45833333333333337","last_synced_commit":"b55eb8efa7df6c73b6f3f0c9b64fa1c801e8f821"},"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dfm%2Facor","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dfm%2Facor/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dfm%2Facor/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dfm%2Facor/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dfm","download_url":"https://codeload.github.com/dfm/acor/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248473121,"owners_count":21109629,"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":[],"created_at":"2024-10-15T01:24:19.807Z","updated_at":"2025-04-13T19:31:22.649Z","avatar_url":"https://github.com/dfm.png","language":"C","funding_links":[],"categories":[],"sub_categories":[],"readme":"ACOR\n====\n\nThis is a direct port of a C++ routine by\n`Jonathan Goodman \u003chttp://www.math.nyu.edu/faculty/goodman/index.html\u003e`_ (NYU)\ncalled `ACOR \u003chttp://www.math.nyu.edu/faculty/goodman/software/acor/\u003e`_ that\nestimates the autocorrelation time of time series data very quickly.\n\n`Dan Foreman-Mackey \u003chttp://danfm.ca\u003e`_ (NYU) made a few surface changes to\nthe interface in order to write a Python wrapper (with the permission of the\noriginal author).\n\nInstallation\n------------\n\nJust run ::\n\n    pip install acor\n\nwith ``sudo`` if you really need it.\n\nOtherwise, download the source code\n`as a tarball \u003chttps://github.com/dfm/acor/tarball/master\u003e`_\nor clone the git repository from `GitHub \u003chttps://github.com/dfm/acor\u003e`_: ::\n\n    git clone https://github.com/dfm/acor.git\n\nThen run ::\n\n    cd acor\n    python setup.py install\n\nto compile and install the module ``acor`` in your Python path. The only\ndependency is `NumPy \u003chttp://numpy.scipy.org/\u003e`_ (including the\n``python-dev`` and ``python-numpy-dev`` packages which you might have to\ninstall separately on some systems).\n\nUsage\n-----\n\nGiven some time series ``x``, you can estimate the autocorrelation time\n(``tau``) using: ::\n\n    import acor\n    tau, mean, sigma = acor.acor(x)\n\nReferences\n----------\n\n* http://www.math.nyu.edu/faculty/goodman/software/acor/index.html\n* http://www.stat.unc.edu/faculty/cji/Sokal.pdf\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdfm%2Facor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdfm%2Facor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdfm%2Facor/lists"}