{"id":39907113,"url":"https://github.com/fabian-s/spikeSlabGAM","last_synced_at":"2026-01-27T04:01:03.562Z","repository":{"id":35190380,"uuid":"39448533","full_name":"fabian-s/spikeSlabGAM","owner":"fabian-s","description":"R-package: Bayesian variable selection, model choice, and regularized     estimation for (spatial) generalized additive mixed regression models via stochastic search variable selection with spike-and-slab priors.","archived":false,"fork":false,"pushed_at":"2024-10-22T13:42:03.000Z","size":2124,"stargazers_count":14,"open_issues_count":1,"forks_count":3,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-12-09T09:09:46.816Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/fabian-s.png","metadata":{"files":{"readme":"README.md","changelog":"NEWS","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":"2015-07-21T13:59:03.000Z","updated_at":"2024-10-22T13:42:07.000Z","dependencies_parsed_at":"2024-10-23T01:09:45.689Z","dependency_job_id":null,"html_url":"https://github.com/fabian-s/spikeSlabGAM","commit_stats":{"total_commits":52,"total_committers":3,"mean_commits":"17.333333333333332","dds":"0.23076923076923073","last_synced_commit":"361f7d417aeb6be3683d455388a529bb7913168e"},"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"purl":"pkg:github/fabian-s/spikeSlabGAM","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fabian-s%2FspikeSlabGAM","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fabian-s%2FspikeSlabGAM/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fabian-s%2FspikeSlabGAM/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fabian-s%2FspikeSlabGAM/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/fabian-s","download_url":"https://codeload.github.com/fabian-s/spikeSlabGAM/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fabian-s%2FspikeSlabGAM/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28800890,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-27T03:44:14.111Z","status":"ssl_error","status_checked_at":"2026-01-27T03:43:33.507Z","response_time":168,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":"2026-01-18T16:00:29.115Z","updated_at":"2026-01-27T04:01:03.551Z","avatar_url":"https://github.com/fabian-s.png","language":"R","funding_links":[],"categories":["Software"],"sub_categories":[],"readme":"`spikeSlabGAM`\n===================\n\n\u003c!-- badges: start --\u003e\n  [![R-CMD-check](https://github.com/fabian-s/spikeSlabGAM/workflows/R-CMD-check/badge.svg)](https://github.com/fabian-s/spikeSlabGAM/actions)\n  \u003c!-- badges: end --\u003e\n\nAn R-package for Bayesian variable selection, model choice, and regularized estimation for (spatial) generalized additive mixed regression models via stochastic search variable selection with spike-and-slab priors.\n\n- Fits **additive models** for **Gaussian, Binary/Binomial and Poisson responses** \n- (Correlated) **random effects** \n- Automagically performs **variable selection** and **function selection** (i.e., do I need this model term at all, is it linear or is it non-linear?), also for interactions between multiple covariates. \n- Yields **marginal posterior inclusion probabilities** for each term as well as **posterior model probabilities** and model-averaged effect estimates.\n- Convenient **formula-based model specification**\n- Fully Bayesian via MCMC, multiple parallelized chains for diagnostics and faster mixing, sampler implemented in `C`. \n\n--------------------------------------------------------------------------------\n### References:\n\nShort \u0026 applied intro (also the vignette that comes with the package, with some minor modifications...):\n\n\u003e Fabian Scheipl. (2011) `spikeSlabGAM`: Bayesian Variable Selection, Model Choice and Regularization for Generalized Additive Mixed Models in R. *Journal of Statistical Software*, 43(14). [[pdf]](http://www.jstatsoft.org/v43/i14)\n\nMore theory, simulation studies and real-world case studies:\n\n\u003e Fabian Scheipl, Ludwig Fahrmeir, Thomas Kneib (2012). Spike-and-Slab Priors for Function Selection in Structured Additive Regression Models. *Journal of the American Statistical Association*, 107(500), 1518-1532. [[pdf on arXiv]](http://arxiv.org/abs/1105.5250)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffabian-s%2FspikeSlabGAM","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffabian-s%2FspikeSlabGAM","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffabian-s%2FspikeSlabGAM/lists"}