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Revision 1.2 / (download) - annotate - [select for diffs], Thu May 5 01:58:35 2022 UTC (2 months ago) by mef
CVS Tags: pkgsrc-2022Q2-base, pkgsrc-2022Q2, HEAD
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 `@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„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 `@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.
Revision 1.1 / (download) - annotate - [select for diffs], Sat Sep 18 23:05:34 2021 UTC (9 months, 2 weeks ago) by mef
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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