Man pages for overdodactyl/diagnosticSummary
Diagnostic Summaries
| as.data.frame.dx | Convert to a data frame |
| breslow_day_test | Breslow-Day Test for Homogeneity of Odds Ratios |
| diagnosticSummary | 'diagnosticSummary' package |
| dx | Set options for diagnostic analysis |
| dx_accuracy | Calculate Accuracy |
| dx_auc | Calculate Area Under the ROC Curve (AUC) |
| dx_auc_pr | Calculate Area Under the Precision-Recall Curve (AUC-PR) |
| dx_balanced_accuracy | Calculate Balanced Accuracy |
| dx_brier | Calculate Brier Score |
| dx_chi_square | Chi-Square Test for Independence in a 2x2 Table |
| dx_cm | Create a Confusion Matrix from Predictions and Truth |
| dx_cohens_kappa | Calculate Cohen's Kappa |
| dx_compare | Compare Multiple Classification Models |
| dx_delong | DeLong's Test for Comparing Two ROC Curves |
| dx_detection_prevalence | Calculate Detection Prevalence |
| dx_edit_cell | Edit a cell within an object returned from dx_forest |
| dx_f1 | Calculate F1 Score with Confidence Intervals |
| dx_f2 | Calculate F2 Score with Confidence Intervals |
| dx_fbeta | Calculate F-beta Score with Confidence Intervals |
| dx_fdr | Calculate False Discovery Rate (FDR) |
| dx_fishers_exact | Fisher's Exact Test for Independence in a 2x2 Table |
| dx_fowlkes_mallows | Calculate Fowlkes-Mallows Index |
| dx_g_mean | Calculate G-mean |
| dx_g_test | G-Test (Log-Likelihood Ratio Test) for Independence in 2x2... |
| dx_heart_failure | Heart attack outcomes and predictions |
| dx_lrt_neg | Calculate Negative Likelihood Ratio |
| dx_lrt_pos | Calculate Positive Likelihood Ratio |
| dx_markedness | Calculate Markedness |
| dx_mcc | Calculate Matthews Correlation Coefficient (MCC) |
| dx_mcnemars | McNemar's Chi-squared Test for Paired Proportions |
| dx_nir | Calculate No Information Rate (NIR) |
| dx_npv | Calculate Negative Predictive Value (NPV) |
| dx_odds_ratio | Calculate Odds Ratio |
| dx_plot_calibration | Plot Calibration Curve |
| dx_plot_cap | Plot Cumulative Accuracy Profile (CAP) Curve |
| dx_plot_cm | Plot Confusion Matrix with Metrics |
| dx_plot_cost | Plot Cost Curve |
| dx_plot_decision_curve | Plot Decision Curve |
| dx_plot_forest | Create table with odds ratios displayed graphically |
| dx_plot_gain | Plot Gain Chart |
| dx_plot_ks | Plot Kolmogorov-Smirnov Curve |
| dx_plot_lift | Plot Lift Curve |
| dx_plot_pr | Plot Precision-Recall Curve |
| dx_plot_predictive_value | Plot Predictive Values Against Prevalence |
| dx_plot_probabilities | Plot Predicted Probabilities |
| dx_plot_roc | Plot ROC Curve |
| dx_plot_rocs | Plot ROC Curves for Multiple Models |
| dx_plot_thresholds | Plot Diagnostic Measures across Thresholds |
| dx_plot_youden_j | Plot Youden's J Index Curve |
| dx_prevalence | Calculate Prevalence |
| dx_roc_ggtheme | Theme used for dx_roc |
| dx_z_test | Z-test for Comparing Two Proportions |
| expected_cell_count | Calculate Expected Cell Count |
| fnr | Calculate False Negative Rate (FNR) |
| fpr | Calculate False Positive Rate (FPR) |
| get_roc | Return an pROC::roc object for a dx object |
| informedness | Calculate Informedness |
| margin_sums | Calculate Margin Sums for a Contingency Table |
| metrics-params | Shared Parameters for Diagnostic Metrics |
| ppv | Calculate Positive Predictive Value (PPV, Precision) |
| sensitivity | Calculate Sensitivity (True Positive Rate, Recall) |
| specificity | Calculate Specificity (True Negative Rate) |
| summary.dx | Summary |
| variance_a | Calculate Variance of Cell Count |
