R/civic.icarm-package.R

In civic.icarm: Interpretable Civic-Accountable and Responsible Machine Learning

#' @keywords internal
"_PACKAGE"

utils::globalVariables(c(
  "grp", "y", "y_hat", "ppos", "group",
  "acc", "acc_gap", "tpr", "tpr_gap", "fpr", "fpr_gap",
  "fnr", "tnr", "ppv", "rate_pos", "mean_prob",
  "dp_ratio", "eo_gap", "reference_group",
  "err", "se", "mae", "rmse", "mae_gap", "rmse_gap",
  "feature", "importance", "importance_scaled",
  "coefficient", "contribution", "variable",
  "model_name", "interpretability", "metric",
  "metric_label", "value", "accuracy", "balanced_acc",
  "f1", "precision", "recall", "auc", "r2",
  "max_acc_gap", "max_tpr_gap", "max_fpr_gap",
  "min_dp_ratio", "max_eo_gap", "di_pass", "eo_pass",
  "n_train", "threshold", "rate_positive",
  "mean_pred", "obs_freq", "bin", "bin_lower", "bin_upper",
  "Actual", "Predicted", "Freq", "n", "where", ".data"
))