asympDiag: Diagnostic Tools for Asymptotic Theory
Leveraging Monte Carlo simulations, this package provides
    tools for diagnosing regression models. It implements a parametric
    bootstrap framework to compute statistics, generates diagnostic
    envelopes to assess goodness-of-fit, and evaluates type I error
    control for Wald tests. By simulating data under the assumption that
    the model is true, it helps to identify model mis-specifications and
    enhances the reliability of the model inferences.
| Version: | 0.3.1 | 
| Imports: | cli | 
| Suggests: | glmmTMB, lme4, MASS, Matrix, rlang, sandwich, survival, testthat (≥ 3.0.0), vctrs, withr | 
| Published: | 2025-03-27 | 
| DOI: | 10.32614/CRAN.package.asympDiag | 
| Author: | Álvaro Kothe  [aut, cre, cph],
  Alexandre Patriota [aut] | 
| Maintainer: | Álvaro Kothe  <kothe65 at gmail.com> | 
| BugReports: | https://github.com/Alvaro-Kothe/asympDiag/issues | 
| License: | MIT + file LICENSE | 
| URL: | https://github.com/Alvaro-Kothe/asympDiag | 
| NeedsCompilation: | no | 
| Materials: | README | 
| CRAN checks: | asympDiag results | 
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