./math/R-broom, Convert Statistical Objects into Tidy Tibbles

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Branch: CURRENT, Version: 0.7.9, Package name: R-broom-0.7.9, Maintainer: pkgsrc-users

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


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   2021-10-26 12:56:13 by Nia Alarie | Files touched by this commit (458)
Log message:
math: Replace RMD160 checksums with BLAKE2s checksums

All checksums have been double-checked against existing RMD160 and
SHA512 hashes
   2021-10-07 16:28:36 by Nia Alarie | Files touched by this commit (458)
Log message:
math: Remove SHA1 hashes for distfiles
   2021-09-19 01:05:34 by Makoto Fujiwara | Files touched by this commit (3)
Log message:
(math/R-broom) import R-broom-0.7.9

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