{"id":17949321,"url":"https://github.com/helske/diagis","last_synced_at":"2026-04-29T17:33:39.961Z","repository":{"id":56934376,"uuid":"71137645","full_name":"helske/diagis","owner":"helske","description":"Auxiliary functions for importance sampling","archived":false,"fork":false,"pushed_at":"2023-09-04T10:06:30.000Z","size":418,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-10-29T09:18:49.074Z","etag":null,"topics":["cpp","importance-sampling","r","weighted-samples"],"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/helske.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":"2016-10-17T12:45:10.000Z","updated_at":"2021-11-15T17:41:18.000Z","dependencies_parsed_at":"2024-10-29T09:49:16.919Z","dependency_job_id":null,"html_url":"https://github.com/helske/diagis","commit_stats":{"total_commits":46,"total_committers":4,"mean_commits":11.5,"dds":"0.32608695652173914","last_synced_commit":"ae13f60638c85283b83c96ac46d845ce76bb269d"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/helske%2Fdiagis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/helske%2Fdiagis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/helske%2Fdiagis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/helske%2Fdiagis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/helske","download_url":"https://codeload.github.com/helske/diagis/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247029670,"owners_count":20871935,"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":["cpp","importance-sampling","r","weighted-samples"],"created_at":"2024-10-29T09:16:13.636Z","updated_at":"2026-04-29T17:33:34.926Z","avatar_url":"https://github.com/helske.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![R-CMD-check](https://github.com/helske/diagis/workflows/R-CMD-check/badge.svg)](https://github.com/helske/diagis/actions)\n[![Codecov test coverage](https://codecov.io/gh/helske/diagis/branch/master/graph/badge.svg)](https://codecov.io/gh/helske/diagis?branch=master)\n[![downloads](http://cranlogs.r-pkg.org/badges/diagis)](http://cranlogs.r-pkg.org/badges/diagis)\n[![cran version](http://www.r-pkg.org/badges/version/diagis)](http://cran.r-project.org/package=diagis)\n\ndiagis: Diagnostic Plot and Multivariate Summary Statistics of Weighted Samples from Importance Sampling\n=======================================================================================\n\n`diagis` is a small package containing functions relating weighted samples obtained for example from importance sampling. \nThe main motivation for developing `diagis` was to enable easy computation of summary statistics and diagnostics of the\nweighted MCMC runs provided by [`bssm`](https://github.com/helske/bssm) package for Bayesian state space modelling. For more broader use, the `diagis` package provides functions for computing weighted means, covariances, and quantiles of possibly multivariate samples, the running versions of (some of) these, as well as diagnostic plot function `weight_plot` for graphical diagnostic of weights. Please see vignette for more details.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhelske%2Fdiagis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhelske%2Fdiagis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhelske%2Fdiagis/lists"}