Changes in version 1.1.0 (2026-08-20)                  

Output Standardization & Aesthetics

  - Hierarchical Model Displays: Refined print and summary outputs for
    partial effects (fracreg.pe, fracregpd.pe, fracreghet.pe,
    fracregridge.pe, fracregmlogit.pe, fracregmlogit.wtp). Enforced a
    logical hierarchical model ordering (BIN0 -> BIN1 -> FRAC ->
    OVERALL) and adopted clear mathematical notation for component
    probabilities (e.g., Pr(y > 0)).
  - Matrix Transposition: Restructured fracregmlogit.pe outputs to
    universally present discrete choices as columns and covariates as
    rows, standardizing the multidimensional matrix display.
  - Specification Tests Standardization: Outputs for econometric
    specification tests (fracreg.reset, fracreghet.reset, fracreg.ggoff,
    fracreg.ptest) now display dynamic headers indicating precisely
    which parent model was tested (e.g. "RESET Test for Fractional logit
    regression") rather than static generic text.
  - Willingness to Pay (WTP): Updated wtp() and its plotting functions
    (plot.fracregmlogit, plot.fracregmlogit.pe) to natively support the
    newly transposed fracregmlogit.pe outputs. Added stylistic
    formatting headers to wtp console prints.
  - Native Print vs Summary: Restored native print() S3 methods across
    the package to output raw point-estimate matrices while reserving
    detailed statistical tables (with standard errors, p-values, and
    confidence intervals) for summary() S3 methods.

Tidyverse & gtsummary Integration

  - Comprehensive Broom Support: Exported broom::tidy() S3 methods for
    all package models, partial effects objects (.pe),
    willingness-to-pay objects (.wtp), and econometric tests (.reset,
    .ggoff, .ptest). Tidied tibbles correctly map test outputs to term,
    statistic, and p.value columns.
  - gtsummary Dispatch Resolution: Re-engineered the
    gtsummary::tbl_regression() integration. tbl_regression.fracreg()
    now correctly triggers S3 dispatch via NextMethod() without
    inadvertently stripping class attributes, preventing broom::tidy()
    fallback failures and resolving R CMD check warnings related to
    unexported gtsummary::: namespaces.
  - Intercept Formatting: The gtsummary integration now correctly lists
    (Intercept) terms by default for non-mixture (1P) and mixture (2P)
    fractional models.
  - Prefix Cleaning: Fixed an issue where broom::tidy retained frac_
    internal prefixes for fracregridge components.

Bug Fixes & Code Quality Improvements

  - Krinsky-Robb Standard Errors: Fixed a critical bug in
    fracregmlogit.pe where standard errors simulated via marg.type =
    "aveacr" calculated point estimates across a single sample mean
    instead of averaging across all individual observations. Average
    Partial Effect standard errors are now accurate across the full
    sample. Changed se = TRUE by default for fracregmlogit.pe.
  - R CMD Check Compliance: Replaced all instances of T and F with TRUE
    and FALSE across R source files and roxygen2 documentation blocks.
    Added Depends: R (>= 3.5.0) to DESCRIPTION to comply with serialized
    dataset formats.
  - Documentation Tags: Systematically added missing \value tags to
    exported R methods (like fitted, predict, and residuals) and removed
    redundant introductory phrases like "This package..." from
    description fields to meet strict CRAN policies.
  - Example Scripts & Variances: Fixed simulation bugs in fracregpd.pe
    example scripts where random error terms possessed static variances,
    restoring R CMD check validation.
  - GitHub Actions: Resolved 403 Forbidden errors during pkgdown
    automated documentation deployments by explicitly granting the
    contents: write permission to the GitHub Actions workflow.

                 Changes in version 1.0.1 (2026-08-05)                  

New Features & Enhancements

  - Fractional Ridge Regression: Added fracregridge and fracregridge.pe
    to implement fractional ridge regression and its corresponding
    partial effects.
  - Fractional Multinomial Logit & Krinsky-Robb: Refactored
    fracregmlogit.pe to use MASS::mvrnorm for Krinsky-Robb standard
    error simulations, resolving hardcoded constraints.
  - Panel Data Partial Effects: Implemented fracregpd.pe for computing
    Average Partial Effects (APE) in panel data settings, including full
    support for Correlated Random Effects (CRE) models and Delta method
    standard errors.
  - Odds Ratios: Added support for computing Odds Ratios and adjustable
    confidence intervals (level) in output summaries.
  - Offset Parameter: Added support for an offset parameter in model
    specifications.
  - S3 Methods & Output Display: Standardised console output by adding
    dedicated summary() and print() S3 methods across the package to
    align with R's standard practices. Changed output tables to say
    "regression" rather than "model" for clarity.
  - Econometric Terminology & Standardization: Renamed Estimate column
    headers to dy/dx universally across all partial effects tables
    (fracreg.pe, fracreghet.pe, fracregmlogit.pe, fracregpd.pe,
    fracregridge.pe), while enforcing Coefficient for non-partial
    effects outputs.
  - Standard Error Annotations: Output tables now dynamically label
    column headers according to standard error type (e.g. Robust
    Std.Err., Cluster Std.Err.) and cleanly append specific
    methodological notes to the tables (e.g., Delta Method,
    Krinsky-Robb, HC0, CRVE).

Documentation & Website

  - Roxygen2 Migration: Fully automated package documentation by
    migrating all manual .Rd files into roxygen2 comments embedded
    directly within the R source files, ensuring airtight
    synchronization between code and documentation.
  - Citations & References: Added citations for the foundational fmlogit
    (Ji and Woodill) and fracridge (Rokem and Kay) packages across
    manual pages, README, and vignettes, formatting URLs properly for
    rendering.
  - Logo & Badges: Improved the package hex logo and added status badges
    to the README.
  - Website (pkgdown): Added a sitemap.xml and reordered the README and
    vignettes sections to properly showcase Fractional Multinomial Logit
    and Fractional Ridge Regression alongside Panel Data models. Added
    Willingness to Pay (WTP) plot visualizations in tutorials.
  - Help Files: Updated .Rd files to properly reflect table = FALSE
    default arguments and fixed \usage widths. Updated the package title
    for clarity and consistency.

Bug Fixes & Under-the-Hood Improvements

  - Namespace Imports: Added comprehensive @importFrom tags for base R
    stats, graphics, and grid functions, alongside ggplot2, eliminating
    all undefined global function NOTEs during checking.
  - S3 Method Registration: Explicitly registered S3 methods (like
    summary and plot) using @exportS3Method to comply with strict R CMD
    check standards.
  - CRAN Compliance: Wrapped computationally heavy examples (like
    plot.fracregmlogit.pe) in \donttest{} blocks to strictly respect
    CRAN's 5-second execution limit.
  - Resolved length > 1 logical condition errors in plot.fracregmlogit
    standard error rendering by properly adopting match.arg().
  - Resolved WTP matrix subsetting issues by enforcing drop = FALSE.
  - Cleaned up legacy fmlogit code dependencies and unified the
    namespace fully under fracregmlogit.
  - Fixed NA/NaN evaluation errors in nlminb during fracreghet
    estimations.
  - Resolved devtools::check() formatting issues, including S3 class
    inheritance checks (inherits()), stats::approx scoping, and fixing
    missing alt-text for accessibility.

                        Changes in version 1.0.0                        

  - Initial CRAN release.