{"id":17771159,"url":"https://github.com/jeffreyevans/yaimpute","last_synced_at":"2025-03-15T15:30:24.995Z","repository":{"id":87571267,"uuid":"556977856","full_name":"jeffreyevans/yaImpute","owner":"jeffreyevans","description":"Nearest neighbor-based imputation on multivariate data","archived":false,"fork":false,"pushed_at":"2024-02-20T19:43:05.000Z","size":353,"stargazers_count":2,"open_issues_count":2,"forks_count":2,"subscribers_count":3,"default_branch":"main","last_synced_at":"2024-04-26T19:22:20.120Z","etag":null,"topics":["cran","imputation","r","r-package","rstats"],"latest_commit_sha":null,"homepage":"","language":"C++","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/jeffreyevans.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2022-10-24T21:45:53.000Z","updated_at":"2024-05-28T19:25:32.394Z","dependencies_parsed_at":null,"dependency_job_id":"497143aa-b651-4aec-b056-113bd745ee20","html_url":"https://github.com/jeffreyevans/yaImpute","commit_stats":{"total_commits":12,"total_committers":1,"mean_commits":12.0,"dds":0.0,"last_synced_commit":"e9a8d81a6af112b157c67c1671c97bd485cf1e33"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeffreyevans%2FyaImpute","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeffreyevans%2FyaImpute/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeffreyevans%2FyaImpute/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jeffreyevans%2FyaImpute/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jeffreyevans","download_url":"https://codeload.github.com/jeffreyevans/yaImpute/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243750399,"owners_count":20342051,"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":["cran","imputation","r","r-package","rstats"],"created_at":"2024-10-26T21:29:42.378Z","updated_at":"2025-03-15T15:30:24.985Z","avatar_url":"https://github.com/jeffreyevans.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"# yaImpute (CRAN 1.0-34, dev 1.0-35) \n\u003c!-- badges: start --\u003e\n[![CRAN\nstatus](http://www.r-pkg.org/badges/version/yaImpute)](https://cran.r-project.org/package=yaImpute)\n[![CRAN RStudio mirror\ndownloads](http://cranlogs.r-pkg.org/badges/grand-total/yaImpute)](https://cran.r-project.org/package=yaImpute)\n\u003c!-- badges: end --\u003e\n\n* Lila Leatherman made the recommendation to retanin the OOB object from a randomForest model. This has been added to the `yai` function as oob = c(FALSE, TRUE) and also results the randomForest argument predict.all = TRUE  \n\n# yaImpute (1.0-34) \u003cimg src=\"man/figures/logo.png\" align=\"right\" height=\"132\" /\u003e\n\nyaImpute (Crookston \u0026 Finley 2007) Performs nearest neighbor-based imputation using one or more \nalternative approaches to processing multivariate data. These include methods based on canonical \ncorrelation: analysis, canonical correspondence analysis, and a multivariate adaptation \nof the random forest classification and regression techniques of Leo Breiman and Adele \nCutler. Additional methods are also offered. The package includes functions for \ncomparing the results from running alternative techniques, detecting imputation targets \nthat are notably distant from reference observations, detecting and correcting \nfor bias, bootstrapping and building ensemble imputations, and mapping results.\n\nCrookston NL, Finley AO (2007). \"yaImpute: An R Package for kNN Imputation.\" Journal of Statistical Software, 23(10). \n  ISSN 1548-7660, http://www.jstatsoft.org/v23/i10.  \n\n**Bugs**: Users are encouraged to report bugs here. Go to [issues](https://github.com/jeffreyevans/yaImpute/issues) in the menu above, and press new issue to start a new bug report, documentation correction or feature request. You can direct questions to \u003cjeffrey_evans@tnc.org\u003e.\n\n**To install `yaImpute` in R use install.packages() to download current stable release from CRAN** \n\n**or, for the development version, run the following (requires the remotes package):**\n`remotes::install_github(\"jeffreyevans/yaImpute\")`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjeffreyevans%2Fyaimpute","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjeffreyevans%2Fyaimpute","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjeffreyevans%2Fyaimpute/lists"}