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0.0.14

  • Thanks to Narwhals, marginaleffects can now ingest data frames in multiple formats and convert them to the Polars representation that we need internally. This no longer requires external dependencies like Pandas or DuckDB. Thanks to @artiom-matvei.

0.0.13

  • Formulas should not include scale() or center(). Thanks to @alexjonesphd for reporting Issue #113.

Breaking change:

  • hypothesis and hypothesis now index in a Python-like style by counting from 0 instead of counting from 1 as in R. Example code before the change predictions(mod, hypothesis = "b1 - b2 = 0"); example correct code after change predictions(mod, hypothesis = "b0 - b1 = 0")

0.0.12

  • Bug in datagrid() prevented "balanced" grid type. Thanks to @danielkberry for the fix (PR #104).
  • Bug: Missing values leading to ValueError: "Something went wrong" in predictions() (Issue #83)

0.0.11

  • Workaround for upstream regression in Polars.
  • Bugfix for p value calculation in equivalence tests. Results could be incorrect.

0.0.10

  • Polars 0.20.7 introduced a breaking change by error. Pinning version until thi is fixed. pola-rs/polars#14401

0.0.9

  • Issue #90: Informative error on reserved keyword like 'group'.
  • Issue #91: get_variables_names() in class ModelStatsmodels does not return all variables which causes errors

0.0.8

  • PyFixest: Fixed effects variables are recognized as categorical by datagrid()
  • MarginalEffectsDataFrame class now has a jacobian attribute.

0.0.7

Breaking change:

  • datagridcf() is deprecated. Use datagrid(grid_type='counterfactual') instead.

New:

  • datagrid() no longer requires specifying the model argument when called inside another marginaleffects function like predictions().
  • eps_vcov argument to control the step size in the computation of the Jacobian used for standard errors.
  • plot_*() use plotnine instead of raw matplotlib
  • plot_*() condition argument gets string shortcuts for numeric variables: "threenum", "fivenum", "minmax".
  • datagrid() gets a grid_type argument: 'mean_or_mode', 'balance', 'counterfactual'
  • Plot labels are sorted for clarity and consistency.
  • hypotheses() function now supports raw models for conducting (non)-linear hypothesis tests on coefficients.

Misc:

  • Refactor and several bug fixes in the plot_*() functions.
  • Many bug fixes.
  • Upgraded dependency on the polars package, with a shift from .apply() to .map_*() due to deprecation.
  • Removed pandas dependency.

0.0.6

  • hypothesis accepts a float or integer to specify a different null hypothesis.
  • Better column order in printout when using datagrid() or by
  • Version bump for dependencies.
  • Equivalence test bug with duplicated column names.
  • Minor bugs in plot_*() with unknown consequences.
  • Linting.

0.0.5

  • predictions() supports categorical predictors when newdata does not include all levels (internal padding).
  • Better sorting of output, using the by argument.

0.0.4

  • New function: datagridcf()
  • predictions() supports categorical predictors when newdata does not include all levels (internal padding).

0.0.3

Breaking change:

  • Rename argument to match R marginaleffects: conf_int -> conf_level

Misc:

  • MarginaleffectsDataFrame class inherits from pl.DataFrame for better printing and to host useful attributes.

0.0.2

Misc:

  • Better step size selection for the numerical derivatives used to compute delta method standard errors.

Bugs:

  • When newdata was an unseen dataframe, out.columns would be referenced in sanity.py prior to assignment. Thanks to @Vinnie-Palazeti for PR #25.

0.0.1

Initial release