{"id":22884809,"url":"https://github.com/gbrsales/kll","last_synced_at":"2025-03-31T17:53:34.530Z","repository":{"id":81974904,"uuid":"154992717","full_name":"gbrsales/kll","owner":"gbrsales","description":"Streaming Quantile Approximation for R","archived":false,"fork":false,"pushed_at":"2018-10-30T15:54:44.000Z","size":15,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-06T22:42:11.063Z","etag":null,"topics":["r","statistics","stream-processing"],"latest_commit_sha":null,"homepage":null,"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/gbrsales.png","metadata":{"files":{"readme":"README.md","changelog":null,"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":"2018-10-27T17:47:05.000Z","updated_at":"2018-10-30T15:54:46.000Z","dependencies_parsed_at":"2023-03-12T14:27:57.359Z","dependency_job_id":null,"html_url":"https://github.com/gbrsales/kll","commit_stats":null,"previous_names":[],"tags_count":3,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gbrsales%2Fkll","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gbrsales%2Fkll/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gbrsales%2Fkll/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gbrsales%2Fkll/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/gbrsales","download_url":"https://codeload.github.com/gbrsales/kll/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246514039,"owners_count":20790013,"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":["r","statistics","stream-processing"],"created_at":"2024-12-13T19:28:52.441Z","updated_at":"2025-03-31T17:53:34.523Z","avatar_url":"https://github.com/gbrsales.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# kll\n\n![Build Status](https://travis-ci.org/gbrsales/kll.svg?branch=master)\n\nAn R package implementing the first algorithm described by Karnin, Lang and\nLiberty in [Optimal Quantile Approximation in Streams](http://arxiv.org/abs/1603.05346).\n\nEfficiently computes (an approximation of) the CDF of numeric values stored in a vector or in a [DelayedArray](https://bioconductor.org/packages/release/bioc/html/DelayedArray.html).\n\n## Usage\n\n```{r}\nlibrary(DelayedArray)\nlibrary(kll)\n\nd \u003c- DelayedArray(array(runif(1000000, dim = c(1000000, 1))))\napprox_cdf(d, 20L)\n```\n\nThe library handles blocking transparently. For instance, the code below will process the array in chunks of 100 rows each while producing the same final result as above.\n\n```{r}\nsetAutoGridMaker(function(x) rowGrid(x, nrow = 100))\napprox_cdf(d, 20L)\n```\n\nIt is also possible to obtain column-level CDFs:\n\n```{r}\nd \u003c- DelayedArray(array(runif(1000), dim = c(500, 2)))\napprox_col_cdf(d, 20L)\n```\n\n## Stability\n\nThe package is still under active development. It should be considered **experimental**.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgbrsales%2Fkll","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgbrsales%2Fkll","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgbrsales%2Fkll/lists"}