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asympDiag  

Diagnostic Tools for Asymptotic Theory
View on CRAN: Click here


Download and install asympDiag package within the R console
Install from CRAN:
install.packages("asympDiag")

Install from Github:
library("remotes")
install_github("cran/asympDiag")

Install by package version:
library("remotes")
install_version("asympDiag", "0.3.1")



Attach the package and use:
library("asympDiag")
Maintained by
Álvaro Kothe
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-03-26
Latest Update: 2025-03-27
Description:
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.
How to cite:
Álvaro Kothe (2025). asympDiag: Diagnostic Tools for Asymptotic Theory. R package version 0.3.1, https://cran.r-project.org/web/packages/asympDiag. Accessed 21 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:19), 0.3.0 (2025-03-26 12:10), 0.3.1 (2025-03-27 23:00), 0.3.2 (2026-02-15 20:00)
Other packages that cited asympDiag R package
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Complete documentation for asympDiag
Functions, R codes and Examples using the asympDiag R package
Full asympDiag package functions and examples
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