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: |
0.3.2 |
| Imports: |
cli |
| Suggests: |
glmmTMB, lme4, MASS, Matrix, rlang, sandwich, survival, testthat (≥ 3.0.0), vctrs, withr |
| Published: |
2026-02-15 |
| 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 |
Documentation:
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