Package: sure 0.2.2.9000

Brandon Greenwell

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.

Authors:Brandon Greenwell [aut, cre], Brad Boehmke [aut], Andrew McCarthy [aut], Dungang Liu [ctb]

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NEWS

Peer review:

Bug tracker:https://github.com/koalaverse/sure/issues

On CRAN:

categorical-datadiagnosticsordinal-regressionresiduals

11 exports 9 stars 1.90 score 30 dependencies 1 dependents 1 mentions 41 scripts 833 downloads

Last updated 5 years agofrom:e8e0bba5ec. Checks:ERROR: 1 WARNING: 6. Indexed: yes.

Exports:autoplot.clmautoplot.glmautoplot.lrmautoplot.ormautoplot.polrautoplot.residautoplot.vglmgofgrid.arrangeresidssurrogate

Dependencies:clicolorspacefansifarverggplot2gluegoftestgridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr