Package index • certestats

All functions
`as.binary()` `is.binary()` `try_binary()`	Work with Binary Columns
`confusion_matrix()`	Confusion Matrix Metrics
`mean_harmonic()` `mean_geometric()`	Different Means
`se()` `ci()` `sum_of_squares()` `cv()` `cqv()` `mse()` `mape()` `rmse()` `mae()` `z_score()` `midhinge()` `ewma()` `rr_ewma()` `normalise()` `normalize()` `scale_sd()` `centre_mean()` `percentiles()` `deciles()`	Distribution Metrics
`early_warning_biomarker()`	Early Warning for Biomarkers
`early_warning_cluster()` `n_clusters()` `has_clusters()` `has_ongoing_cluster()` `has_cluster_before()` `has_cluster_after()`	Early Warning for Disease Clusters
`esbl_tests`	Example Data Set with ESBL Test Outcomes
`impute()` `is_imputed()` `get_mice()`	Impute: Filling Missing Values
`ml_xg_boost()` `ml_decision_trees()` `ml_random_forest()` `ml_neural_network()` `ml_nearest_neighbour()` `ml_linear_regression()` `ml_logistic_regression()` `confusion_matrix(<certestats_ml>)` `predict(<certestats_ml>)` `apply_model_to()` `feature_importances()` `feature_importance_plot()` `roc_plot()` `gain_plot()` `tree_plot()` `correlation_plot()` `get_metrics()` `get_accuracy()` `get_kappa()` `get_recipe()` `get_specification()` `get_rows_testing()` `get_rows_training()` `get_original_data()` `get_roc_data()` `get_coefficients()` `get_model_variables()` `get_variable_weights()` `tune_parameters()` `check_testing_predictions()` `autoplot(<certestats_ml>)` `autoplot(<certestats_feature_importances>)` `autoplot(<certestats_tuning>)`	Create a Machine Learning (ML) Model
`any()` `all()` `mean()` `sum()` `prod()` `min()` `max()` `pmin()` `pmax()` `range()` `sd()` `var()` `median()` `fivenum()` `quantile()` `IQR()`	Mathematical Functions With Global `na.rm`
`moving_average()` `moving_sum()` `moving_Q1()` `moving_Q3()` `moving_fn()`	Moving Average
`normality()`	Normality Analysis
`qc_rule1()` `qc_rule2()` `qc_rule3()` `qc_rule4()` `qc_rule5()` `qc_rule6()` `qc_rule7()` `qc_rule8()` `qc_rule_text()` `qc_test()`	Quality Control (QC) Rules
`regression()` `plot(<certestats_reg>)` `autoplot(<certestats_reg>)`	Fast Regression Models
`remove_outliers()`	Remove Outliers
`row_function()`	Apply Function per Row
`weighted_mean()` `weighted_median()` `weighted_Q1()` `weighted_Q3()` `weighted_fn()`	Weighted Mean

Reference

All functions