{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:AFGNSE456SVD4EMEMBYWAFJDIF","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"beeb35d3e0a2a01ebac5dad5770068fb1598d7a55fb4d6fe722c93299a94eb2e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2013-03-12T10:54:28Z","title_canon_sha256":"197f778f0f8b5f74fcd6f5a53eae6b48fd4c918f30169ea0d3da5290e11d5e47"},"schema_version":"1.0","source":{"id":"1303.2836","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1303.2836","created_at":"2026-05-18T02:53:17Z"},{"alias_kind":"arxiv_version","alias_value":"1303.2836v3","created_at":"2026-05-18T02:53:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1303.2836","created_at":"2026-05-18T02:53:17Z"},{"alias_kind":"pith_short_12","alias_value":"AFGNSE456SVD","created_at":"2026-05-18T12:27:38Z"},{"alias_kind":"pith_short_16","alias_value":"AFGNSE456SVD4EME","created_at":"2026-05-18T12:27:38Z"},{"alias_kind":"pith_short_8","alias_value":"AFGNSE45","created_at":"2026-05-18T12:27:38Z"}],"graph_snapshots":[{"event_id":"sha256:edb2455302ef95ea3e29ac9d4221931fd2b89afc70b07748916a70ead9c357de","target":"graph","created_at":"2026-05-18T02:53:17Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"PReMiuM is a recently developed R package for Bayesian clustering using a Dirichlet process mixture model. This model is an alternative to regression models, non-parametrically linking a response vector to covariate data through cluster membership. The package allows Bernoulli, Binomial, Poisson, Normal and categorical response, as well as Normal and discrete covariates. Additionally, predictions may be made for the response, and missing values for the covariates are handled. Several samplers and label switching moves are implemented along with diagnostic tools to assess convergence. A number ","authors_text":"David I. Hastie, Lamiae Azizi, Michail Papathomas, Silvia Liverani, Sylvia Richardson","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2013-03-12T10:54:28Z","title":"PReMiuM: An R Package for Profile Regression Mixture Models using Dirichlet Processes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1303.2836","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:a02ac2fa885ea378d3a07bb9980efb252e2937429d4f992800356f1f4f74fe2e","target":"record","created_at":"2026-05-18T02:53:17Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"beeb35d3e0a2a01ebac5dad5770068fb1598d7a55fb4d6fe722c93299a94eb2e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.CO","submitted_at":"2013-03-12T10:54:28Z","title_canon_sha256":"197f778f0f8b5f74fcd6f5a53eae6b48fd4c918f30169ea0d3da5290e11d5e47"},"schema_version":"1.0","source":{"id":"1303.2836","kind":"arxiv","version":3}},"canonical_sha256":"014cd9139df4aa3e118460716015234162686f9da3e09f29ceb9579d830d6dfe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"014cd9139df4aa3e118460716015234162686f9da3e09f29ceb9579d830d6dfe","first_computed_at":"2026-05-18T02:53:17.629184Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:53:17.629184Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"caJjtC4PIIIG8pHSVZus4AhOxnPc+maNsASqJqVzD7haF3RogoRu3AATmNyPyMhnv0cY3D1+nC7xUKevcnXrAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T02:53:17.629856Z","signed_message":"canonical_sha256_bytes"},"source_id":"1303.2836","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a02ac2fa885ea378d3a07bb9980efb252e2937429d4f992800356f1f4f74fe2e","sha256:edb2455302ef95ea3e29ac9d4221931fd2b89afc70b07748916a70ead9c357de"],"state_sha256":"d5b065419a53ada38f52189d92787de74d9c7c7d41c7d5f8f84c88f91a1998d2"}