Changes in version 0.1.0.9000                      

  - Expanded the acronyms in the DESCRIPTION file's Description field at
    the request of the CRAN reviewer.

                 Changes in version 0.1.0 (2026-07-21)                  

Initial CRAN release. ivreg2r provides extended instrumental variables
and GMM estimation with automatic diagnostics, inspired by Stata's
ivreg2 (Baum, Schaffer & Stillman).

  - Estimators: 2SLS, LIML, Fuller, k-class, two-step efficient GMM, and
    the continuously-updated estimator (CUE).
  - Variance estimators: classical, heteroskedasticity-robust, one- and
    two-way cluster-robust, HAC/AC with eight kernels and automatic
    bandwidth selection, Kiefer, and Driscoll-Kraay.
  - Diagnostics reported at estimation time: weak identification
    (Kleibergen-Paap, Cragg-Donald, Stock-Yogo critical values),
    underidentification, overidentification (Sargan, Hansen J,
    Stock-Wright S), first-stage tests (Sanderson-Windmeijer,
    Angrist-Pischke), endogeneity, and orthogonality.
  - Tidyverse integration: a three-part formula interface and tidy(),
    glance(), and augment() methods, plus diagnostics() and
    first_stage() accessors that return the specification tests and
    first-stage results as tidy objects.
  - Bundled datasets used throughout the help-file examples and
    vignettes: card, mroz, wagepan, griliches, klein, grunfeld, abdata,
    nlswork, phillips, stockwatson, and cigar.
  - All outputs verified against Stata ivreg2 within tight numerical
    tolerances.