Showing 4 of total 4 results (show query)
modeloriented
auditor:Model Audit - Verification, Validation, and Error Analysis
Provides an easy to use unified interface for creating validation plots for any model. The 'auditor' helps to avoid repetitive work consisting of writing code needed to create residual plots. This visualizations allow to asses and compare the goodness of fit, performance, and similarity of models.
Maintained by Alicja Gosiewska. Last updated 1 years ago.
classificationerror-analysisexplainable-artificial-intelligencemachine-learningmodel-validationregression-modelsresidualsxai
58 stars 8.76 score 94 scripts 2 dependentskoalaverse
sure:Surrogate Residuals for Ordinal and General Regression Models
An implementation of the surrogate approach to residuals and diagnostics for ordinal and general regression models; for details, see Liu and Zhang (2017, <doi:https://doi.org/10.1080/01621459.2017.1292915>) and Greenwell et al. (2017, <https://journal.r-project.org/archive/2018/RJ-2018-004/index.html>). These residuals can be used to construct standard residual plots for model diagnostics (e.g., residual-vs-fitted value plots, residual-vs-covariate plots, Q-Q plots, etc.). The package also provides an 'autoplot' function for producing standard diagnostic plots using 'ggplot2' graphics. The package currently supports cumulative link models from packages 'MASS', 'ordinal', 'rms', and 'VGAM'. Support for binary regression models using the standard 'glm' function is also available.
Maintained by Brandon Greenwell. Last updated 26 days ago.
categorical-datadiagnosticsordinal-regressionresiduals
9 stars 5.58 score 47 scripts 1 dependentscoatless-rpkg
surreal:Create Datasets with Hidden Images in Residual Plots
Implements the "Residual (Sur)Realism" algorithm described by Stefanski (2007) <doi:10.1198/000313007X190079> to generate datasets that reveal hidden images or messages in their residual plots. It offers both predefined datasets and tools to embed custom text or images into residual structures. Allowing users to create intriguing visual demonstrations for teaching model diagnostics.
Maintained by James Joseph Balamuta. Last updated 7 months ago.
diagnostic-plotsresidual-analysisresiduals
15 stars 4.57 score 4 scriptsfriendly
twoway:Analysis of Two-Way Tables
Carries out analyses of two-way tables with one observation per cell, together with graphical displays for an additive fit and a diagnostic plot for removable 'non-additivity' via a power transformation of the response. It implements Tukey's Exploratory Data Analysis (1973) <ISBN: 978-0201076165> methods, including a 1-degree-of-freedom test for row*column 'non-additivity', linear in the row and column effects.
Maintained by Michael Friendly. Last updated 5 months ago.
anovaresidualstransformationstukey
4 stars 3.94 score 22 scripts