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.