Changes in version 0.1.2 (2026-07-21)                  

CRAN resubmission addressing a second review comment; no functional
changes.

  - DESCRIPTION: write the HARPER and RECORD-PE framework names in
    normal capitalization ("Harmonized...", "Reporting...",
    "Pharmacoepidemiology") instead of the mixed-case styling that the
    CRAN spell check flagged. The acronyms remain in parentheses.

                        Changes in version 0.1.1                        

CRAN resubmission addressing reviewer feedback; no functional changes.

  - DESCRIPTION: all acronyms (OMOP, CDM, RWE, HTML, JSON, FDA, HARPER,
    RECORD-PE) are now explained at first use, and references follow the
    authors (year) <doi:...> format.
  - Removed the \dontrun{} example from validate_cohort(); the
    live-database call is now shown in the function's Details section.
  - Added an executable example to cdm_disconnect(). The only remaining
    \dontrun{} example is cdm_connect(), which requires a live
    PostgreSQL server and credentials.
  - Expanded the Title to spell out "OMOP Common Data Model".
  - example_cdm() now builds a 20-person, two-arm demo CDM (target and
    comparator), so every exported module — including run_covariates() —
    has a runnable example against the bundled database.
  - Added @examples to run_attrition(), run_density(), run_concepts(),
    and run_covariates().

                        Changes in version 0.1.0                        

First public release. rwevalidate validates an instantiated OMOP CDM
cohort for real-world-evidence use and produces a regulator-aligned HTML
+ JSON report from a single validate_cohort() call.

Features

  - cdm_connect() / cdm_disconnect() - open a PostgreSQL CDM connection
    and validate that the required clinical tables exist (split-schema
    aware).
  - Module 1 - run_concepts() - concept prevalence, ancestor coverage,
    and per-domain vocabulary mapping rate (FDA Relevance).
  - Module 2 - run_attrition() - cohort size, index-date distribution,
    prior-observation coverage, and demographics at index (HARPER /
    RECORD-PE).
  - Module 3 - run_density() - records per patient per month by domain
    and follow-up completeness with a censoring breakdown (FDA
    Reliability).
  - Module 4 - run_covariates() - standardized mean differences (love
    plot), per-arm prevalence, and a power calculation against a
    comparator (HARPER).
  - Reporting - render_validation_report() writes a self-contained HTML
    report with a traffic-light summary plus a machine-readable
    validation_results.json sidecar; write_results_json() works without
    Pandoc.
  - validate_cohort() - one entry point that wires connection, all
    modules, and the report. Accepts an open con or PostgreSQL
    connection arguments; concept_ids enables Module 1, comparator_id
    enables Module 4.

Notes

  - Targets OMOP CDM v5.3.1. Validated against MIMIC-IV on PostgreSQL
    and a synthetic DuckDB mock used by the test suite.
  - No dependency on CohortDiagnostics, DataQualityDashboard, or
    Achilles.
  - All thresholds are documented, configurable function arguments.