{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:ITTIQ2WWNQVIFQVAXQ2FE2ARDH","short_pith_number":"pith:ITTIQ2WW","schema_version":"1.0","canonical_sha256":"44e6886ad66c2a82c2a0bc3452681119cd2a4c52d9ba22d2da46a452ebcdae13","source":{"kind":"arxiv","id":"2107.13763","version":1},"attestation_state":"computed","paper":{"title":"CARlasso: An R package for the estimation of sparse microbial networks with predictors","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Claudia Solis-Lemus, Yunyi Shen","submitted_at":"2021-07-29T06:17:35Z","abstract_excerpt":"Microbiome data analyses require statistical tools that can simultaneously decode microbes' reactions to the environment and interactions among microbes. We introduce CARlasso, the first user-friendly open-source and publicly available R package to fit a chain graph model for the inference of sparse microbial networks that represent both interactions among nodes and effects of a set of predictors. Unlike in standard regression approaches, the edges represent the correct conditional structure among responses and predictors that allows the incorporation of prior knowledge from controlled experim"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2107.13763","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2021-07-29T06:17:35Z","cross_cats_sorted":[],"title_canon_sha256":"2332ccdb861f066288f22a2b3936673372e568f2d2fc638bd58321dc841ad46c","abstract_canon_sha256":"280747dcb75dcec295e747bd75fa2d52801f4e78d253e03b8c6f9e1607946ae1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:01:39.998025Z","signature_b64":"KYYERiGMTr74dofPXH9uRSZi8Izf0dGBUSZ6r3AYECPUjEI8iGXSuWGaeATsukQwPT9TC6n4PQv3NxiCcK7gDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"44e6886ad66c2a82c2a0bc3452681119cd2a4c52d9ba22d2da46a452ebcdae13","last_reissued_at":"2026-07-05T03:01:39.997681Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:01:39.997681Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CARlasso: An R package for the estimation of sparse microbial networks with predictors","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Claudia Solis-Lemus, Yunyi Shen","submitted_at":"2021-07-29T06:17:35Z","abstract_excerpt":"Microbiome data analyses require statistical tools that can simultaneously decode microbes' reactions to the environment and interactions among microbes. We introduce CARlasso, the first user-friendly open-source and publicly available R package to fit a chain graph model for the inference of sparse microbial networks that represent both interactions among nodes and effects of a set of predictors. Unlike in standard regression approaches, the edges represent the correct conditional structure among responses and predictors that allows the incorporation of prior knowledge from controlled experim"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.13763","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2107.13763/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2107.13763","created_at":"2026-07-05T03:01:39.997742+00:00"},{"alias_kind":"arxiv_version","alias_value":"2107.13763v1","created_at":"2026-07-05T03:01:39.997742+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.13763","created_at":"2026-07-05T03:01:39.997742+00:00"},{"alias_kind":"pith_short_12","alias_value":"ITTIQ2WWNQVI","created_at":"2026-07-05T03:01:39.997742+00:00"},{"alias_kind":"pith_short_16","alias_value":"ITTIQ2WWNQVIFQVA","created_at":"2026-07-05T03:01:39.997742+00:00"},{"alias_kind":"pith_short_8","alias_value":"ITTIQ2WW","created_at":"2026-07-05T03:01:39.997742+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ITTIQ2WWNQVIFQVAXQ2FE2ARDH","json":"https://pith.science/pith/ITTIQ2WWNQVIFQVAXQ2FE2ARDH.json","graph_json":"https://pith.science/api/pith-number/ITTIQ2WWNQVIFQVAXQ2FE2ARDH/graph.json","events_json":"https://pith.science/api/pith-number/ITTIQ2WWNQVIFQVAXQ2FE2ARDH/events.json","paper":"https://pith.science/paper/ITTIQ2WW"},"agent_actions":{"view_html":"https://pith.science/pith/ITTIQ2WWNQVIFQVAXQ2FE2ARDH","download_json":"https://pith.science/pith/ITTIQ2WWNQVIFQVAXQ2FE2ARDH.json","view_paper":"https://pith.science/paper/ITTIQ2WW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2107.13763&json=true","fetch_graph":"https://pith.science/api/pith-number/ITTIQ2WWNQVIFQVAXQ2FE2ARDH/graph.json","fetch_events":"https://pith.science/api/pith-number/ITTIQ2WWNQVIFQVAXQ2FE2ARDH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ITTIQ2WWNQVIFQVAXQ2FE2ARDH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ITTIQ2WWNQVIFQVAXQ2FE2ARDH/action/storage_attestation","attest_author":"https://pith.science/pith/ITTIQ2WWNQVIFQVAXQ2FE2ARDH/action/author_attestation","sign_citation":"https://pith.science/pith/ITTIQ2WWNQVIFQVAXQ2FE2ARDH/action/citation_signature","submit_replication":"https://pith.science/pith/ITTIQ2WWNQVIFQVAXQ2FE2ARDH/action/replication_record"}},"created_at":"2026-07-05T03:01:39.997742+00:00","updated_at":"2026-07-05T03:01:39.997742+00:00"}