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Annotation of pkgsrc/math/R-broom/DESCR, Revision 1.1

1.1     ! mef         1: Summarizes key information about statistical objects in tidy tibbles.
        !             2: This makes it easy to report results, create plots and consistently
        !             3: work with large numbers of models at once. Broom provides three verbs
        !             4: that each provide different types of information about a model. tidy()
        !             5: summarizes information about model components such as coefficients of
        !             6: a regression. glance() reports information about an entire model, such
        !             7: as goodness of fit measures like AIC and BIC. augment() adds
        !             8: information about individual observations to a dataset, such as fitted
        !             9: values or influence measures.