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CVS log for pkgsrc/math/R-broom/Makefile

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Revision 1.2 / (download) - annotate - [select for diffs], Thu May 5 01:58:35 2022 UTC (2 weeks, 2 days ago) by mef
Branch: MAIN
Changes since 1.1: +74 -22 lines
Diff to previous 1.1 (colored)

(math/R-broom) Updated 0.7.9 to 0.8.0

# broom 0.8.0
This update  makes significant improvements to  documentation, fixes a
number of bugs,  and brings the development flow of  the package up to
date with other packages in the tidymodels.

In the big picture, this release:

* Makes many improvements to documentation:

     - All tidiers now have example code demonstrating usage in their
       documentation. Tidiers for base packages as well as selected
       others also include sample code for visualization of results
       with ggplot2.

     - Code examples in the documentation largely now follow
       consistent style---these changes were made largely to reflect
       the tidyverse style guide, addressing spacing, object naming,
       and commenting, among other things.

     - Examples previously marked with `\dontrun` or `\donttest` have
       been workshopped to run reliably.  * Clarifies errors and
       warnings for deprecated and un-maintained tidiers.  * Ensures
       that tidiers are placed in files named according to the
       model-supplying package rather than the model object class for
       easier navigability of the source code.

### Bug fixes and other improvements

* Fix `glance.fixest` error when model includes only fixed effects and
  no regressors (`#1018` by `@arcruz0`, `#1088` by

* Address excessive messaging from `tidy.speedlm` (`#1084` by
  `@cgoo4`, `#1087` by `@vincentarelbundock`).

* Add `nobs` column to the output of `glance.svyglm` (`#1085` by
  `@fschaffner`, `#1086` by `@vincentarelbundock`).

* Ensure `tidy.prcomp` description entries use consistent punctuation
  (`#1072` by `@PursuitOfDataScience`).

* Address breaking changes in `glance.fixest` and `tidy.btergm`.

* Simplify handling of `MASS::polr` output in the corresponding `tidy`
  and `augment` methods.

* Align continuous integration with current standards in tidymodels

# broom 0.7.12
Nearly identical source to broom 0.7.11„ŗ«÷pdates the maintainer email
address to an address listed in other CRAN packages maintained by the
same person.

# broom 0.7.11
* Addressed issue with the ordering of original observations in
  `augment.rqs`. Now function preserves the original `data.frame`
  names also when the input `data.frame` only has one column (`#1052`
  by `@ilapros`).

* Addressed warning from `tidy.rma` when `x$ddf` has length greater
  than 1 (`#1064` by `@wviechtb`).

* Fix errors in `glance.lavaan` in anticipation of upcoming `tidyr`
  release (`#1067` by `@DavisVaughan`).

* Corrected the confidence interval in `tidy.crr()`. The
  `tidy.crr(conf.level=)` argument was previously ignored (`#1068` by

# broom 0.7.10
* Clarifies error when `pysch::mediate` output is dispatched to
  `tidy.mediate` (`#1037` by `@LukasWallrich`).

* Allows user to specify confidence level for `tidy.rma` (`#1041` by

* Clarifies documentation related to usage of `augment_columns()`;
  most package users should use `augment()` in favor of
  `augment_columns()`. See `?augment_columns` for more details.

* Extends support for `emmeans` by fixing non-standard column names in
  case of asymptotically derived inferential statistics. (`#1046` by

* Fixes use of index columns in `augment.mlogit` and adds `.resid`
column to output. (`#1045`, `#1053`, `#1055`, and `#1056` by
`@jamesrrae` and `@gregmacfarlane`)

* Correct column naming of standard error measures in

* Various bug fixes and improvements to documentation.

Revision 1.1 / (download) - annotate - [select for diffs], Sat Sep 18 23:05:34 2021 UTC (8 months ago) by mef
Branch: MAIN
CVS Tags: pkgsrc-2022Q1-base, pkgsrc-2022Q1, pkgsrc-2021Q4-base, pkgsrc-2021Q4, pkgsrc-2021Q3-base, pkgsrc-2021Q3

(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.

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