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Changelog

Source: NEWS.md

tidyposterior 1.1.0

  • New stan_glmer_inits() computes data-based starting values for the Bayesian models used by perf_mod(). The results can be passed to rstanarm::stan_glmer() (directly or via perf_mod(..., init = )) and can shorten warmup for models that are slow to converge, such as those with heterogeneous variances.

  • perf_mod() gains an initialize argument (default FALSE) that computes and applies these starting values automatically, reusing the sampler seed (when one is passed) so that the entire fit is reproducible.

  • Fixed a bug where perf_mod() duplicated the resampling statistics for workflow sets: when more than one metric had been collected, each statistic was included in the Bayesian model once per metric.

  • New compare_to_leader() contrasts every model in a perf_mod() object against the best model in the set and returns a data frame of probability statements about how much each candidate gives up relative to that leader. autoplot() on the result draws the posterior metric intervals alongside those probabilities.

  • New initialize_keys() builds a template of model labels to edit and pass to the key argument of compare_to_leader().

  • perf_mod() gains a select_best argument for workflow sets. Workflows are always reduced to their own best tuning parameter candidate; select_best = TRUE additionally collapses workflows that fit the same type of model with the same engine down to the best of each group, so that each model type/engine combination competes once. The default, FALSE, keeps the existing behavior of one competitor per wflow_id.

tidyposterior 1.0.2

CRAN release: 2025-07-31

  • Maintenance release for an upcoming ggplot2 release (#74).

  • Transition from the magrittr pipe to the base R pipe.

tidyposterior 1.0.1

CRAN release: 2023-10-11

Maintenance release for a broken test in current R-devel.

Maintainer email change.

tidyposterior 1.0.0

CRAN release: 2022-06-23

  • Transition from gather() to pivot_longer().

  • Update to testthat 3e.

tidyposterior 0.1.0

CRAN release: 2021-03-25

  • The ggplot() methods are now removed in factor of autoplot() methods.

  • perf_mod() methods added for tuning parameter objects from tune, finetune, and workflowsets.

  • rstanarm version 2.21.1 or higher is now required due to changes to their APIs.

  • Re-licensed package from GPL-2 to MIT. All copyright holders are RStudio employees and give consent.

tidyposterior 0.0.3

CRAN release: 2020-06-11

  • contrast_models() now returns a tibble and has an extra column called contrast.

  • The plot methods are now deprecated and will be removed in the next version. They are not very good and can be replaced with simple ggplot code.

  • An optional formula argument was added to perf_mod.rset() and perf_mod.data.frame(). When the resampling method has multiple ID columns, a nested data structure is assumed (with a warning). The new formula argument can be used to over-ride the nesting.

Breaking Changes

  • Methods for compatibility with dplyr 1.0.0. For the newer dplyr version, if critical columns for posterior or posterior_diff objects are removed, the objects is down-graded to a tibble. For earlier versions of dplyr, the object is not down-cast.

tidyposterior 0.0.2

CRAN release: 2018-11-15

A small, maintenance release.

Minor bug fixes and improvements

  • Moved from the broom package to the generics package to get the tidy generic.

  • ggplot2 was moved to Suggests

  • The sole tidy method was more explicitly exported so that the generics man files show the method.

  • The large RData objects containing the examples have been removed from the package and are accessible via a link to the GitHub repo.

tidyposterior 0.0.1

CRAN release: 2017-11-14

  • First CRAN submission