Package: asympDiag 0.3.2

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.

Authors:Álvaro Kothe [aut, cre, cph], Alexandre Patriota [aut]

asympDiag_0.3.2.tar.gz
asympDiag_0.3.2.zip(r-4.7)asympDiag_0.3.2.zip(r-4.6)asympDiag_0.3.2.zip(r-4.5)
asympDiag_0.3.2.tgz(r-4.6-any)asympDiag_0.3.2.tgz(r-4.5-any)
asympDiag_0.3.2.tar.gz(r-4.7-any)asympDiag_0.3.2.tar.gz(r-4.6-any)
asympDiag_0.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
asympDiag/json (API)

# Install 'asympDiag' in R:
install.packages('asympDiag', repos = c('https://alvaro-kothe.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/alvaro-kothe/asympdiag/issues

On CRAN:

Conda:

3.18 score 3 stars 2 scripts 226 downloads 15 exports 1 dependencies

Last updated from:e6f885346f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK135
source / vignettesOK262
linux-release-x86_64OK168
macos-release-arm64OK145
macos-oldrel-arm64OK175
windows-develOK120
windows-releaseOK103
windows-oldrelOK86
wasm-releaseOK105

Exports:concat_pvaluesenvelopeenvelope_residualget_convergedget_fixefget_model_responseget_refitget_vcovparametric_bootstrapplot_cookplot_ecdf_pvalueplot_res_vs_linear_predictorrefit_modelselect_covariatessimulate_wald_pvalues

Dependencies:cli

Readme and manuals

Help Manual

Help pageTopics
Concatenate AD_pvalues objectconcat_pvalues
Generate Simulated Envelopeenvelope
Recommended Residuals for Envelope Plotsenvelope_residual envelope_residual.default envelope_residual.glm envelope_residual.lm
Did the model convergedget_converged get_converged.default
Get fixed effectsget_fixef get_fixef.default get_fixef.glmmTMB get_fixef.merMod
Extract the Response Variable from a Model Objectget_model_response
Refit the Modelget_refit
Get covariance matrixget_vcov get_vcov.default get_vcov.glmmTMB
Perform Parametric Bootstrap Simulationsparametric_bootstrap
Plot Cook's distancesplot_cook
Plot Empirical Cumulative Distribution Function (ECDF) of p-valuesplot_ecdf_pvalue
Plot Residuals against Linear Predictorplot_res_vs_linear_predictor
Envelope Plotplot.AD_envelope
Plot Empirical Cumulative Distribution Function (ECDF) of p-valuesplot.AD_pvalues
Refit Modelrefit_model
Select covariatesselect_covariates
Generate Wald test P-Values with Monte Carlo Simulationssimulate_wald_pvalues