API Reference

• balance
  • setup_logging()
  • balance.adjustment
    • apply_transformations()
    • default_transformations()
    • trim_weights()
  • balance.balancedf_class
    • BalanceCovarsDF
      • BalanceCovarsDF.from_frame()
    • BalanceDF
      • BalanceDF.asmd()
      • BalanceDF.asmd_improvement()
      • BalanceDF.ci_of_mean()
      • BalanceDF.df
      • BalanceDF.mean()
      • BalanceDF.mean_with_ci()
      • BalanceDF.model_matrix()
      • BalanceDF.names()
      • BalanceDF.plot()
      • BalanceDF.std()
      • BalanceDF.summary()
      • BalanceDF.to_csv()
      • BalanceDF.to_download()
      • BalanceDF.var_of_mean()
    • BalanceOutcomesDF
      • BalanceOutcomesDF.relative_response_rates()
      • BalanceOutcomesDF.summary()
      • BalanceOutcomesDF.target_response_rates()
    • BalanceWeightsDF
      • BalanceWeightsDF.design_effect()
      • BalanceWeightsDF.plot()
      • BalanceWeightsDF.summary()
      • BalanceWeightsDF.trim()
  • balance.cli
  • balance.sample_class
    • Sample
      • Sample.id_column
      • Sample.weight_column
      • Sample.adjust()
      • Sample.covar_means()
      • Sample.covars()
      • Sample.design_effect()
      • Sample.design_effect_prop()
      • Sample.df
      • Sample.diagnostics()
      • Sample.from_frame()
      • Sample.has_target()
      • Sample.is_adjusted()
      • Sample.keep_only_some_rows_columns()
      • Sample.model()
      • Sample.model_matrix()
      • Sample.outcome_sd_prop()
      • Sample.outcome_variance_ratio()
      • Sample.outcomes()
      • Sample.plot_weight_density()
      • Sample.set_target()
      • Sample.set_unadjusted()
      • Sample.set_weights()
      • Sample.summary()
      • Sample.to_csv()
      • Sample.to_download()
      • Sample.weights()
  • balance.stats_and_plots
    • balance.stats_and_plots.general_stats
      • relative_response_rates()
    • balance.stats_and_plots.weighted_comparisons_plots
      • naming_legend()
      • plot_bar()
      • plot_dist()
      • plot_hist_kde()
      • plot_qq()
      • plot_qq_categorical()
      • plotly_plot_bar()
      • plotly_plot_density()
      • plotly_plot_dist()
      • plotly_plot_qq()
      • seaborn_plot_dist()
      • set_xy_axes_to_use_the_same_lim()
    • balance.stats_and_plots.weighted_comparisons_stats
      • asmd()
      • asmd_improvement()
      • outcome_variance_ratio()
    • balance.stats_and_plots.weighted_stats
      • ci_of_weighted_mean()
      • descriptive_stats()
      • relative_frequency_table()
      • var_of_weighted_mean()
      • weighted_mean()
      • weighted_quantile()
      • weighted_sd()
      • weighted_var()
    • balance.stats_and_plots.weights_stats
      • design_effect()
      • nonparametric_skew()
      • prop_above_and_below()
      • weighted_median_breakdown_point()
  • balance.testutil
    • BalanceTestCase
      • BalanceTestCase.assertEqual()
  • balance.typing
  • balance.util
    • TruncationFormatter
      • TruncationFormatter.format()
    • add_na_indicator()
    • auto_spread()
    • build_model_matrix()
    • choose_variables()
    • dot_expansion()
    • drop_na_rows()
    • fct_lump()
    • fct_lump_by()
    • find_items_index_in_list()
    • formula_generator()
    • get_items_from_list_via_indices()
    • guess_id_column()
    • model_matrix()
    • one_hot_encoding_greater_2
    • process_formula()
    • qcut()
    • quantize()
    • rm_mutual_nas()
    • row_pairwise_diffs()
  • balance.weighting_methods
    • balance.weighting_methods.adjust_null
      • adjust_null()
    • balance.weighting_methods.cbps
      • alpha_function()
      • bal_loss()
      • cbps()
      • compute_deff_from_beta()
      • compute_pseudo_weights_from_logit_probs()
      • gmm_function()
      • gmm_loss()
      • logit_truncated()
    • balance.weighting_methods.ipw
      • calc_dev()
      • choose_regularization()
      • ipw()
      • link_transform()
      • model_coefs()
      • weights_from_link()
    • balance.weighting_methods.poststratify
      • poststratify()
    • balance.weighting_methods.rake
      • prepare_marginal_dist_for_raking()
      • rake()