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 + fileLICENSE |
| URL: | https://github.com/Alvaro-Kothe/asympDiag |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | asympDiag results |
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