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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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=asympDiag
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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