{"id":15293007,"url":"https://github.com/itsrainingdata/sparsebnutils","last_synced_at":"2025-04-13T12:21:02.678Z","repository":{"id":56935283,"uuid":"50886867","full_name":"itsrainingdata/sparsebnUtils","owner":"itsrainingdata","description":"Utilities for learning sparse Bayesian networks","archived":false,"fork":false,"pushed_at":"2019-05-29T11:08:50.000Z","size":419,"stargazers_count":2,"open_issues_count":3,"forks_count":1,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-03-27T03:22:32.872Z","etag":null,"topics":["bayesian-networks","graphical-models","machine-learning","r","statistics"],"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/itsrainingdata.png","metadata":{"files":{"readme":"README.Rmd","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}},"created_at":"2016-02-02T02:05:24.000Z","updated_at":"2021-08-23T17:52:33.000Z","dependencies_parsed_at":"2022-08-21T05:50:11.614Z","dependency_job_id":null,"html_url":"https://github.com/itsrainingdata/sparsebnUtils","commit_stats":null,"previous_names":[],"tags_count":6,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/itsrainingdata%2FsparsebnUtils","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/itsrainingdata%2FsparsebnUtils/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/itsrainingdata%2FsparsebnUtils/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/itsrainingdata%2FsparsebnUtils/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/itsrainingdata","download_url":"https://codeload.github.com/itsrainingdata/sparsebnUtils/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248711169,"owners_count":21149306,"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":["bayesian-networks","graphical-models","machine-learning","r","statistics"],"created_at":"2024-09-30T16:37:39.678Z","updated_at":"2025-04-13T12:21:02.638Z","avatar_url":"https://github.com/itsrainingdata.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"---\noutput:\n  md_document:\n    variant: markdown_github\n---\n\n```{r, echo = FALSE}\nknitr::opts_chunk$set(\n  collapse = TRUE,\n  comment = \"#\u003e\",\n  fig.path = \"README-\"\n)\n```\n\n# sparsebnUtils\n\n[![Project Status: Active  The project has reached a stable, usable state and is being actively developed.](http://www.repostatus.org/badges/latest/active.svg)](http://www.repostatus.org/#active)\n[![Travis-CI Build Status](https://travis-ci.org/itsrainingdata/sparsebnUtils.svg?branch=master)](https://travis-ci.org/itsrainingdata/sparsebnUtils)\n[![](http://www.r-pkg.org/badges/version/sparsebnUtils)](http://www.r-pkg.org/pkg/sparsebnUtils)\n[![CRAN RStudio mirror downloads](http://cranlogs.r-pkg.org/badges/sparsebnUtils)](http://www.r-pkg.org/pkg/sparsebnUtils)\n\nA set of tools for representing and estimating sparse Bayesian networks from continuous and discrete data.\n\n## Overview\n\nThis package provides various S3 classes for making it easy to estimate graphical models from data:\n\n- `sparsebnData` for managing experimental data with interventions.\n- `sparsebnFit` for representing the output of a DAG learning algorithm.\n- `sparsebnPath` for representing a solution path of estimates.\n\nThe package also provides methods for manipulating these objects and for estimating parameters in graphical models:\n\n- `estimate.parameters` for directed graphs.\n- `get.precision` for undirected graphs.\n- `get.covariance` for covariance matrices.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fitsrainingdata%2Fsparsebnutils","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fitsrainingdata%2Fsparsebnutils","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fitsrainingdata%2Fsparsebnutils/lists"}