{ "_id": "6ada66b22ccc51e6c64e50ca", "Package": "dmrfit", "Date": "2026-10-21", "Type": "Package", "Title": "Scalable Bayesian Inference for Discrete Markov Random Fields", "Version": "0.1.1", "Authors@R": "c(person(given = \"Giuseppe\",\nfamily = \"Arena\",\nrole = c(\"aut\", \"cre\"),\nemail = \"g.arena@uva.nl\",\ncomment = c(ORCID = \"0000-0001-5204-3326\")))", "Description": "Estimation of discrete Markov random fields through the\npseudo-likelihood, for both Ising models (Ising (1925)\n) and ordinal Markov random fields\n(Marsman et al. (2025) ). Point\nestimates, either maximum pseudo-likelihood or maximum a\nposteriori, are obtained through a trust region optimization\nalgorithm, with robust standard errors from the\nGodambe-Huber-White (GHW, or sandwich) estimator, for both full\nand constrained network structures. Bayesian inference corrects\nthe pseudo-posterior through coordinate rescaling (Arena and\nMarsman (2026) ), which matches\nits covariance to the GHW covariance, and samples from it with\nthe Fisher adaptive Metropolis-adjusted Langevin algorithm\n(Titsias (2024) ). For\ncomparison, the posterior based on the full likelihood can also\nbe sampled, exactly for small networks or with the double\nMetropolis-Hastings algorithm (Liang (2010)\n). Savage-Dickey Bayes factors\ntest each pairwise interaction, computed either by sampling\nimportance resampling (Skare et al. (2003)\n) or from the posterior draws.", "License": "MIT + file LICENSE", "Copyright": "The dataset 'rads2' is licensed under CC BY 4.0; see file\nCOPYRIGHTS.", "URL": "https://jupepis.github.io/dmrfit/,\nhttps://github.com/jupepis/dmrfit", "BugReports": "https://github.com/jupepis/dmrfit/issues", "VignetteBuilder": "knitr", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-10-22 19:33:55 UTC", "User": "root" }, "Author": "Giuseppe Arena [aut, cre] (ORCID:\n)", "Maintainer": "Giuseppe Arena ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-10-22 13:20:02 UTC", "RemoteUrl": "https://github.com/cran/dmrfit", "RemoteRef": "HEAD", "RemoteSha": "77208fe580944896be8511d3e7a90e277a4179b1", "_user": "cran", "_type": "src", "_file": "dmrfit_0.1.1.tar.gz", "_fileid": "https://r2.ropensci.org/dede18eb0157102fb74170b773c6979c8099e0acf9b67ed4b3cc6685e0a31236", "_filesize": 1374664, "_sha256": "dede18eb0157102fb74170b773c6979c8099e0acf9b67ed4b3cc6685e0a31236", "_expires": "2027-01-30T19:40:32.000Z", "_created": "2026-10-22T19:33:55.000Z", "_published": "2026-10-22T19:40:34.362Z", "_upstream": "https://github.com/cran/dmrfit", "_status": "success", "_maintainer": { "name": "Giuseppe Arena", "email": "g.arena@uva.nl", "login": "jupepis", "bluesky": "@giuseppearena.bsky.social", "orcid": "0000-0001-5204-3326", "description": "Hello there ! 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