Changes in version 0.1.0 (2026-10-22)                  

  - Initialized package development scaffold.

  - Generalized the validated six-method engine to use internal
    canonical variable roles rather than MIDUS-specific variable names.

  - Added initial input validation, S3 result object, diagnostics, and a
    provisional sensitivity-table formatter.

  - Added initial tests for input structure and Naive/CCA equivalence.

  - Finalized the initial public API for analysis settings: users can
    analyze one or multiple outcomes, choose a subset of methods, set
    the confidence level, control FCS/JM-MI computation, and supply
    either one reproducible seed or outcome-specific seeds.

  - Polished tbl_sensitivity() with user-controlled decimal places,
    outcome/method labels, optional standard-error columns, captions,
    and gtsummary/data-frame output modes.

  - Added plot_sensitivity() and plot() support for forest plots of
    method-specific estimates and confidence intervals, including
    outcome/method filtering, custom labels, configurable reference
    lines, and fixed or free facet scales.

  - Upgraded plot_sensitivity() to the manuscript publication style,
    including the validated six-method palette, open method-specific
    symbols, horizontal confidence intervals, a dotted null line, and
    right-side coefficient/CI and p-value annotations.

  - Completed numerical validation against the manuscript implementation
    for both MIDUS outcomes across all six methods.

  - Added a synthetic example-data generator and a full Getting Started
    vignette.

  - Refined publication forest plots for single- and multiple-outcome
    analyses, including portable font handling, outcome facet strips,
    customizable estimate labels, and manuscript-size export guidance.

  - Updated README and package metadata for release-readiness review.

  - Added runnable examples for the public API and focused regression
    tests for FCS-MI, JM-MI, IPW, and AIPW.

  - Expanded R CMD check to Ubuntu, Windows, and macOS on current R,
    plus R-devel and R-oldrel-1 on Ubuntu.

  - Verified installation and end-to-end execution from the built source
    tarball in a fresh R library and process.

  - Prepared version 0.1.0 for public release, including the public
    GitHub repository, pkgdown documentation website, full R-devel
    source-package checks, and Windows checks on R-devel, R-release, and
    R-oldrelease.

  - Standardized displayed estimates and confidence limits in
    sensitivity tables and forest-plot annotations to three decimal
    places by default.