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   2023-06-13 16:03:03 by Makoto Fujiwara | Files touched by this commit (2)
Log message:
(math/R-broom) Updated 1.0.2 to 1.0.5

# broom 1.0.5

* `tidy.coxph()` will now pass its ellipses `...` to `summary()`
  internally (#1151 by `@ste-tuf`).

* Transitioned the deprecation of the `region` argument to
  `tidy.SpatialPolygonsDataFrame` from a warn- to a hard-deprecation
  (#1142).

* Removed maptools and rgeos as Suggested packages ahead of their
  retirement. sp tidiers will be removed from a future release of the
  package (#1142).

* Addressed bug in mlogit tidiers where `augment.mlogit()` would fail
  if supplied a model fitted with a non-default `dfidx()` (#1156 by
  `@gregmacfarlane`).

* Addressed bug in ANOVA tidiers where `tidy.anova()` would fail if
  passed a model with many predictors (#1159 by `@jwilliman`).

* Addressed warnings in ANOVA tidiers for unrecognized column names
  `Resid..Df`, `Resid..Dev`, and `Deviance`; those columns will be
  renamed `df.residual`, `residual.deviance`, and `deviance`,
  respectively (#1159 by `@jwilliman`).

# broom 1.0.4

* Added an `intercept` argument to `tidy.aov()`, a logical indicating
  whether to include information on the intercept as the first row of
  results (#1144 by `@victor-vscn`).

* Moved forward with soft-deprecation of tidiers for objects from the
  sp package ahead of the retirement of the rgeos and maptools
  packages later this year. sp tidiers will be removed from a future
  release of the package (#1142).

* Fixed bug in `augment.glm()` where the `.std.resid` column always
  contained standardized deviance residuals regardless of the value
  passed to the `type.residuals` argument (#1147).

# broom 1.0.3

* Addressed test failures on R-devel.

* Fixed bug in `tidy.multinom()` where the `conf.level` argument would
  be ignored.
   2022-12-18 11:26:18 by Makoto Fujiwara | Files touched by this commit (2)
Log message:
(math/R-broom)  Updated 0.8.0 to 1.0.2

# broom 1.0.2

* The default `data` argument for `augment.coxph()` and
  `augment.survreg()` has been transitioned from `NULL` to
  `model.frame(x)` (#1126 by `@capnrefsmmat`).
* Migrated 'ggplot2' from strong to weak dependency, i.e. moved from
  `Imports` to `Suggests`.
* Fixed a bug where `augment()` results would not include residuals
  when the response term included a function call (#1121, #946, #937,
  #124).

# broom 1.0.1

* Improves performance of `tidy.lm()` and `tidy.glm()` for full-rank
  fits (#1112 by `@capnrefsmmat`).

* Moves forward with deprecation of tidiers for sparse matrices
  outputted from the Matrix package, initially soft-deprecated in
  broom 0.5.0. The Matrix tidiers were light wrappers around coercion
  methods that will now be deprecated from Matrix itself in the
  upcoming 1.4-2 release. The affected methods are
  `tidy.sparseMatrix()`, `tidy.dgCMatrix()`, and
  `tidy.dgTMatrix()`. Note that `tidy.confusionMatrix()`, for relevant
  objects outputted from the caret package, is unaffected (#1113).

* `tidy.anova()` works again with `anova` objects from the `lme4`
  package (broken by addition of the `terms` column in the previous
  release)

# broom 1.0.0

broom 1.0.0 is the first "production" release of the broom package,
and includes a number of notable changes to both functionality and
governance.

As of this release, the broom team will be following a set of
guidelines that clarify the scope of further development on the
package. Given the package's wide use and long history, these
guidelines _prioritize backward compatibility_ over internal
consistency and completeness. You can read those guidelines
[here](https://broom.tidymodels.org/articles/)!

We've also made notable changes to error handling in this release:

* Adds minimal ellipsis checking to warn on commonly misspecified
  arguments passed through ellipses. Notably:
    + `tidy()` methods will now warn when supplied an `exponentiate`
      argument if it will be ignored.
    + `augment()` methods will now warn when supplied a `newdata`
       argument if it will be ignored.

* The warning regarding tidiers only maintained via dispatch to `lm`
  and `glm` is now displayed only once per session, per unique
  dispatch. That is, if a `class_a` object is tidied using a `(g)lm`
  method, broom will not warn when tidying `class_a` objects for the
  rest of the session, but if a `class_b` object is tidied using a
  `(g)lm` method in the same session, broom will warn again (#1101).

Other fixes and improvements:

* Add `exponentiate` argument to `tidy.boot()` (#1039).
* Update in `tidy.htest()` converting matrix-columns to vector-columns (#1081).
* Address failures in `tidy.glht()` with `conf.int = TRUE` (#1103).
* Address failures in `tidy.zoo()` when input data does not have `colnames`
  (#1080).
* Transition tidiers for bivariate linear or spline-based interpolation---using
  list tidiers to interface with objects from the akima package is now
  considered off-label. See the interp package for a FOSS alternative.
* Address failures in `tidy.svyolr()` when `p.values = TRUE`. Instead of aliasing
  `tidy.polr()` directly, `tidy.svyolr()` lightly wraps that method and
  warns if `p.values` is supplied (#1107).
* Adds a `term` column and introduces support for `car::lht()` output in
  `tidy.anova()` (#1106 by `@grantmcdermott`).
* Adds a dedicated `glance.anova` method (which previously dispatched to the
  deprecated `glance.data.frame()` tidier, #1106 by `@grantmcdermott`).
   2022-05-05 03:58:35 by Makoto Fujiwara | Files touched by this commit (2) | Package updated
Log message:
(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
  `@vincentarelbundock`).

* 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
  packages.

# broom 0.7.12
-------------------------------------------
Nearly identical source to broom 0.7.11—updates 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
  `@ddsjoberg`).

# 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
  `@TarenSanders`)

* 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
  `@crsh`)

* 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
  `glance.survfit()`.

* Various bug fixes and improvements to documentation.
   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.

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