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View Code? Open in Web Editor NEWR package for postestimation on GLM models
License: Creative Commons Zero v1.0 Universal
R package for postestimation on GLM models
License: Creative Commons Zero v1.0 Universal
Should postr enable some sort of attach-style (or Stata post-estimation style) functionality? To enable something like this:
m <- glm(...)
pr_attach(m)
pr_classify(threshold = .2)
pr_roc()
attach
problem of repeated attaches.attach
itself.attach
-related concerns?pr_attach(glm(...))
fail?pr_summary()
or equivalent.pr_info()
to gives details about "attached" model.> m <- glm(vs ~ hp, data = mtcars, family = binomial)
> pr_AUC(m)
[1] 0.9583333
> library(pROC)
> auc(roc(mtcars$vs, predict(m)))
Area under the curve: 0.9365
Generalize rvfplot to enable easy plotting of residuals against other functions of x.
Against x is easy, against generic f(x)?
How should pr_rvfplot
work with glm models e.g. logistic regression?
Most functions should allow an optional newdata
argument. If it is not given, the data is assumed to be that upon which the model was fit.
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