{
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  "Package": "DCC",
  "Type": "Package",
  "Title": "Data Cleaning Center for Survey and Assessment Data",
  "Version": "1.2.1",
  "Authors@R": "c(\nperson(\"Kunxiang\", \"Ma\", role = c(\"aut\", \"cre\"),\nemail = \"makunxiang@weiandata.com\"),\nperson(\"WEIAN DATA TECH (Beijing) Co., Ltd.\",\nrole = c(\"cph\", \"fnd\"), email = \"contact@weiandata.com\"))",
  "Description": "Rule-driven, auditable cleaning of survey and assessment\nresponse data, implementing the WeianData Detect-Execute-Report\nworkflow. Provides a multi-format, multi-encoding input layer\n(CSV, 'Excel', 'SPSS', 'Stata', 'SAS', Parquet, JSON), the\ndcc_data container with a provenance chain, level-0 structural\ndiagnostics, five built-in response-quality detectors (missing\nitems, straight-lining, response time, trap items, score\nanomalies), a declarative YAML rule engine, an execution engine\nwith a cell-level audit log, answer-key scoring, multi-form to\nmaster item bank mapping, a normalized report model rendered as\nbilingual staff workbooks and HTML, complete statistical\nbundles, and versioned machine JSON/JSONL with\nfindings-to-changes reconciliation, cell-level lineage tracing,\nand manifest-based one-command reproduction. Includes a\nprotected bilingual strict project workbook and matching JSON\ncontract with cell-addressed validation, non-mutating\npreflight, preview-first execution, and localized staff\nguidance. All formally supported input backends install with\nthe package; PDF is optional rather than a fixed report output.",
  "License": "GPL (>= 2)",
  "Copyright": "See file inst/COPYRIGHTS.",
  "Encoding": "UTF-8",
  "Language": "en",
  "Config/testthat/edition": "3",
  "VignetteBuilder": "knitr",
  "URL": "https://github.com/weiandata/DCC",
  "BugReports": "https://github.com/weiandata/DCC/issues",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.2",
  "Config/DCC/Installation": "complete format backends in Imports; PDF\noptional",
  "Config/pak/sysreqs": "cmake make libicu-dev libssl-dev libx11-dev\nzlib1g-dev",
  "Repository": "https://weiandata.r-universe.dev",
  "Date/Publication": "2026-09-02 12:20:25 UTC",
  "RemoteUrl": "https://github.com/weiandata/dcc",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-09-26 13:54:34 UTC",
    "User": "root"
  },
  "Author": "Kunxiang Ma [aut, cre],\nWEIAN DATA TECH (Beijing) Co., Ltd. [cph, fnd]",
  "Maintainer": "Kunxiang Ma <makunxiang@weiandata.com>",
  "_user": "weiandata",
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  "_expires": "2027-01-04T13:59:50.000Z",
  "_created": "2026-09-26T13:54:34.000Z",
  "_published": "2026-09-26T13:59:51.935Z",
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  "_exports": [
    "dcc_apply_codebook",
    "dcc_audit_log",
    "dcc_capabilities",
    "dcc_check",
    "dcc_cleaned",
    "dcc_codebook_changes",
    "dcc_config",
    "dcc_data",
    "dcc_detect",
    "dcc_detect_chunked",
    "dcc_detect_encoding",
    "dcc_dictionary",
    "dcc_dispositions",
    "dcc_doctor",
    "dcc_execute",
    "dcc_export_log",
    "dcc_findings",
    "dcc_help",
    "dcc_import",
    "dcc_item_map",
    "dcc_l0_diagnose",
    "dcc_manifest",
    "dcc_map_forms",
    "dcc_mapping_findings",
    "dcc_missing_states",
    "dcc_provenance",
    "dcc_read",
    "dcc_read_config",
    "dcc_read_plan",
    "dcc_read_report",
    "dcc_reconcile",
    "dcc_report",
    "dcc_report_machine",
    "dcc_report_model",
    "dcc_report_staff",
    "dcc_report_statistical",
    "dcc_rerun",
    "dcc_result_summary",
    "dcc_rules",
    "dcc_run",
    "dcc_run_files",
    "dcc_schema",
    "dcc_score",
    "dcc_template",
    "dcc_trace",
    "dcc_unhandled",
    "dcc_validate_config",
    "dcc_validate_data",
    "dcc_validate_json",
    "dcc_validate_jsonl",
    "dcc_validate_plan",
    "dcc_validate_report_model",
    "dcc_validate_rules",
    "dcc_validation_errors",
    "dcc_write_config_template",
    "detect_missing_items",
    "detect_response_time",
    "detect_score_anomaly",
    "detect_straightlining",
    "detect_trap_items"
  ],
  "_help": [
    {
      "page": "dcc_apply_codebook",
      "title": "Apply a declarative codebook to a dataset",
      "topics": [
        "dcc_apply_codebook"
      ]
    },
    {
      "page": "dcc_audit_log",
      "title": "Accessors for dcc_result objects",
      "topics": [
        "dcc_audit_log",
        "dcc_cleaned"
      ]
    },
    {
      "page": "dcc_capabilities",
      "title": "Machine-readable DCC capability document",
      "topics": [
        "dcc_capabilities"
      ]
    },
    {
      "page": "dcc_check",
      "title": "Check a strict DCC project without changing data",
      "topics": [
        "dcc_check"
      ]
    },
    {
      "page": "dcc_codebook_changes",
      "title": "The planned changes of a codebook preview",
      "topics": [
        "dcc_codebook_changes"
      ]
    },
    {
      "page": "dcc_config",
      "title": "A cleaning configuration",
      "topics": [
        "dcc_config"
      ]
    },
    {
      "page": "dcc_data",
      "title": "The dcc_data container",
      "topics": [
        "dcc_data"
      ]
    },
    {
      "page": "dcc_detect",
      "title": "Run a rule set against data (Detect stage)",
      "topics": [
        "dcc_detect"
      ]
    },
    {
      "page": "dcc_detect_chunked",
      "title": "Run record-local checks over a file in chunks",
      "topics": [
        "dcc_detect_chunked"
      ]
    },
    {
      "page": "dcc_detect_encoding",
      "title": "Detect the character encoding of a text file",
      "topics": [
        "dcc_detect_encoding"
      ]
    },
    {
      "page": "dcc_dictionary",
      "title": "Canonical variable dictionary",
      "topics": [
        "dcc_dictionary"
      ]
    },
    {
      "page": "dcc_dispositions",
      "title": "Terminal dispositions of a cleaning result",
      "topics": [
        "dcc_dispositions"
      ]
    },
    {
      "page": "dcc_doctor",
      "title": "Run every validator over a dataset and rule set",
      "topics": [
        "dcc_doctor"
      ]
    },
    {
      "page": "dcc_execute",
      "title": "Execute actions on detected findings (Execute stage)",
      "topics": [
        "dcc_execute"
      ]
    },
    {
      "page": "dcc_export_log",
      "title": "Export an audit log for external auditors",
      "topics": [
        "dcc_export_log"
      ]
    },
    {
      "page": "dcc_findings",
      "title": "The dcc_findings table",
      "topics": [
        "dcc_findings"
      ]
    },
    {
      "page": "dcc_help",
      "title": "Explain a DCC workflow code in Chinese or English",
      "topics": [
        "dcc_help"
      ]
    },
    {
      "page": "dcc_import",
      "title": "Strict canonical import",
      "topics": [
        "dcc_import"
      ]
    },
    {
      "page": "dcc_item_map",
      "title": "Master item map of a form-mapped dataset",
      "topics": [
        "dcc_item_map"
      ]
    },
    {
      "page": "dcc_l0_diagnose",
      "title": "Level-0 structural diagnostics",
      "topics": [
        "dcc_l0_diagnose"
      ]
    },
    {
      "page": "dcc_manifest",
      "title": "Build a reproducibility manifest for a cleaning run",
      "topics": [
        "dcc_manifest"
      ]
    },
    {
      "page": "dcc_map_forms",
      "title": "Map multi-form responses onto the master item bank",
      "topics": [
        "dcc_map_forms"
      ]
    },
    {
      "page": "dcc_mapping_findings",
      "title": "Mapping problems found while aligning forms",
      "topics": [
        "dcc_mapping_findings"
      ]
    },
    {
      "page": "dcc_missing_states",
      "title": "Canonical cell-level missing states",
      "topics": [
        "dcc_missing_states"
      ]
    },
    {
      "page": "dcc_provenance",
      "title": "Provenance chain of a dcc_data object",
      "topics": [
        "dcc_provenance"
      ]
    },
    {
      "page": "dcc_read",
      "title": "Read a data file into a dcc_data object",
      "topics": [
        "dcc_read"
      ]
    },
    {
      "page": "dcc_read_config",
      "title": "Read an Excel cleaning-plan configuration",
      "topics": [
        "dcc_read_config"
      ]
    },
    {
      "page": "dcc_read_plan",
      "title": "Read a strict DCC Excel or JSON plan",
      "topics": [
        "dcc_read_plan"
      ]
    },
    {
      "page": "dcc_read_report",
      "title": "Read report of a dcc_data object",
      "topics": [
        "dcc_read_report"
      ]
    },
    {
      "page": "dcc_reconcile",
      "title": "Reconcile findings against logged changes (closed loop)",
      "topics": [
        "dcc_reconcile"
      ]
    },
    {
      "page": "dcc_report",
      "title": "Generate a cleaning report (Report stage)",
      "topics": [
        "dcc_report"
      ]
    },
    {
      "page": "dcc_report_machine",
      "title": "Render the machine report bundle",
      "topics": [
        "dcc_report_machine"
      ]
    },
    {
      "page": "dcc_report_model",
      "title": "Build and validate the normalized report model",
      "topics": [
        "dcc_report_model",
        "dcc_validate_report_model"
      ]
    },
    {
      "page": "dcc_report_staff",
      "title": "Render the bilingual staff report",
      "topics": [
        "dcc_report_staff"
      ]
    },
    {
      "page": "dcc_report_statistical",
      "title": "Render the statistical report bundle",
      "topics": [
        "dcc_report_statistical"
      ]
    },
    {
      "page": "dcc_rerun",
      "title": "Re-run a cleaning pipeline from its manifest and verify the output",
      "topics": [
        "dcc_rerun"
      ]
    },
    {
      "page": "dcc_result_summary",
      "title": "Create a structured AI summary of a DCC result",
      "topics": [
        "dcc_result_summary"
      ]
    },
    {
      "page": "dcc_rules",
      "title": "Load a declarative rule set from a YAML file",
      "topics": [
        "dcc_rules"
      ]
    },
    {
      "page": "dcc_run",
      "title": "Run a cleaning workflow with one command",
      "topics": [
        "dcc_run"
      ]
    },
    {
      "page": "dcc_run_files",
      "title": "Output files written by a run",
      "topics": [
        "dcc_run_files"
      ]
    },
    {
      "page": "dcc_schema",
      "title": "Published JSON Schema for a DCC object",
      "topics": [
        "dcc_schema"
      ]
    },
    {
      "page": "dcc_score",
      "title": "Score responses against an answer key",
      "topics": [
        "dcc_score"
      ]
    },
    {
      "page": "dcc_template",
      "title": "Create the strict bilingual DCC Excel template",
      "topics": [
        "dcc_template"
      ]
    },
    {
      "page": "dcc_trace",
      "title": "Trace the cleaning history of a record or cell",
      "topics": [
        "dcc_trace"
      ]
    },
    {
      "page": "dcc_unhandled",
      "title": "Findings left unhandled by execution",
      "topics": [
        "dcc_unhandled"
      ]
    },
    {
      "page": "dcc_validate_config",
      "title": "Validate a cleaning configuration",
      "topics": [
        "dcc_validate_config"
      ]
    },
    {
      "page": "dcc_validate_data",
      "title": "Validate data against a rule set before detection",
      "topics": [
        "dcc_validate_data"
      ]
    },
    {
      "page": "dcc_validate_json",
      "title": "Validate DCC JSON and JSON Lines artifacts",
      "topics": [
        "dcc_validate_json",
        "dcc_validate_jsonl"
      ]
    },
    {
      "page": "dcc_validate_plan",
      "title": "Validate a strict DCC project plan",
      "topics": [
        "dcc_validate_plan"
      ]
    },
    {
      "page": "dcc_validate_rules",
      "title": "Validate a rule set before it is used",
      "topics": [
        "dcc_validate_rules"
      ]
    },
    {
      "page": "dcc_validation_errors",
      "title": "The failing issues of a validation report",
      "topics": [
        "dcc_validation_errors"
      ]
    },
    {
      "page": "dcc_write_config_template",
      "title": "Write a starter Excel cleaning-plan template",
      "topics": [
        "dcc_write_config_template"
      ]
    },
    {
      "page": "detect_missing_items",
      "title": "Detect excessive item nonresponse per respondent",
      "topics": [
        "detect_missing_items"
      ]
    },
    {
      "page": "detect_response_time",
      "title": "Detect implausibly fast or anomalous response times",
      "topics": [
        "detect_response_time"
      ]
    },
    {
      "page": "detect_score_anomaly",
      "title": "Detect group-wise score anomalies",
      "topics": [
        "detect_score_anomaly"
      ]
    },
    {
      "page": "detect_straightlining",
      "title": "Detect straight-lining (longstring)",
      "topics": [
        "detect_straightlining"
      ]
    },
    {
      "page": "detect_trap_items",
      "title": "Detect failed trap (attention-check) items",
      "topics": [
        "detect_trap_items"
      ]
    }
  ],
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      "created": "2026-07-15 15:33:35",
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      "engine": "knitr::rmarkdown",
      "headings": [
        "A small dataset and a rule set",
        "Detect",
        "Execute",
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      "created": "2026-07-12 07:15:29",
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