A B C D F H I K L M N O P Q R S T U V Y
| arrhenius | arrhenius - Arrhenius accelerated stability analysis |
| auc | Describe an analysis object |
| auc.roc | Compute ROC curves and AUC for each evaluation column. |
| auc_compare | Describe an analysis object |
| auc_compare.roc | Compare two paired ROC AUCs |
| bias | Describe an analysis object |
| bias.mcr | Bias analysis (S3 method) - estimate bias at given medical decision levels |
| bland_altman | Describe an analysis object |
| bland_altman.mcr | Bland-Altman analysis (S3 method) |
| bottle_anova | bottle_anova constructor |
| c5_c95 | Estimate C5 and C95 from an internal continuous response |
| ci | Describe an analysis object |
| ci.precision | S3 confidence interval method |
| coef.fit_equation | Extract coefficients from an equation fit |
| commutability | Assess reference-material commutability using four standard approaches |
| compare_equation | Fit and compare multiple equations |
| continuous_to_binary | Convert quantitative columns to binary based on cutoff values |
| correlation | Describe an analysis object |
| correlation.mcr | Correlation analysis (S3 method) |
| counts_to_table | Construct a 2x2 contingency table from TP / FP / TN / FN frequencies (silent construction) |
| cutoff | Describe an analysis object |
| cutoff.roc | Optimal Cutoff Analysis (S3 method) |
| describe | Describe an analysis object |
| describe.fourfold_table | Descriptive Statistics: Raw Data Overview (S3 Method) |
| describe.mcr | Compute descriptive statistics and store results |
| describe.roc | Descriptive Statistics (S3 method) |
| diagnostics | Describe an analysis object |
| diagnostics.fourfold_table | Diagnostic performance metrics: calculate sensitivity, specificity, likelihood ratios, etc. with confidence intervals for a fourfold_table |
| dilution_recovery | Calculate dilution recovery |
| fit_equation | General-purpose equation fitting |
| hook_effect | Summarize a high-dose hook-effect experiment |
| interference_dose_response | Analyze an EP07 interference dose-response experiment |
| interference_paired | Analyze paired-difference interference data |
| interference_patient | Evaluate interference with patient specimens |
| interference_replicates | Calculate replicate counts for an EP07 paired-difference experiment |
| ivd_bottle_example | Small deterministic one-way ANOVA example |
| ivd_mcr_example | Small deterministic method-comparison example |
| ivd_qualitative_example | Small deterministic qualitative-method example |
| ivd_roc_example | Small deterministic ROC example |
| kappa | Describe an analysis object |
| kappa.fourfold_table | Cohen's Kappa / PABAK Agreement Analysis (2x2 table only) |
| linearity | Evaluate linearity using straight-line or polynomial regression |
| linearity_endpoints | Calculate target LOW and HIGH concentrations for verification |
| linearity_panel | Design a HIGH/LOW linearity panel |
| linearity_replicates | Calculate replicate counts for a linearity study |
| list_equation | Print the equation registry |
| list_sadler | List Sadler precision profile model equations |
| list_westgard | List Westgard QC rules |
| mcnemar | Describe an analysis object |
| mcnemar.fourfold_table | McNemar Test (for fourfold_table only) |
| mcr | mcr constructor |
| mkt | mkt - Mean Kinetic Temperature |
| mlr | Describe an analysis object |
| mlr.roc | Multivariate Logistic Regression (S3 method) |
| normal | Describe an analysis object |
| normal.precision | S3 normality test method |
| normal_test | Normality test |
| outlier | Detect outliers in an analysis object |
| outlier.mcr | Outlier detection (S3 method) |
| outlier.precision | S3 outlier detection method |
| outliers_test | Outlier detection |
| plot.arrhenius | Plot Arrhenius stability analysis |
| plot.c5_c95 | Plot C5 and C95 results |
| plot.commutability_result | Plot a commutability assessment |
| plot.dilution_recovery | Plot dilution-recovery results |
| plot.fit_equation | Plot an equation fit |
| plot.hook_effect | Plot a high-dose hook-effect experiment |
| plot.interference_dose_response | Plot interference dose-response results |
| plot.interference_paired | Plot paired interference estimates |
| plot.interference_patient | Plot patient-specimen interference results |
| plot.linearity | Plot a linearity analysis |
| plot.mcr | Plot (S3 method) - unified plotting interface |
| plot.normal_test | Plot normality diagnostics |
| plot.precision | S3 plot method |
| plot.qc_chart | Plot a Levey-Jennings QC chart |
| plot.reference_interval | Plot reference interval results |
| plot.roc | Plot ROC or cutoff-dependent diagnostic metrics |
| plot.sensitivity | Plot an analytical-sensitivity analysis |
| plot.spike_recovery | Plot spike-recovery results |
| plot.stability_bias | Plot stability bias across storage conditions |
| plot.stability_regression | Plot a stability regression |
| plot.stability_time | Plot stability limit-time predictions |
| plot.uncertainty_budget | Plot an uncertainty budget |
| plot.uncertainty_propagation | Plot propagated uncertainty |
| plot.uncertainty_traceability | Plot cumulative uncertainty through a traceability chain |
| plot.youden_plot | Plot a Youden analysis |
| precision | Precision variance component analysis |
| predict.fit_equation | Predict fitted values or inverse-predict (from y to x) |
| predict.interference_dose_response | Predict from an interference dose-response analysis |
| predict.mcr | Predict (S3 method) - predict based on regression results |
| predict.roc | Predict (S3 method) - predict from multivariate logistic regression |
| print.arrhenius | Print Arrhenius stability-analysis results |
| print.bottle_anova | S3 print method: bottle_anova |
| print.c5_c95 | Print C5 and C95 estimates |
| print.commutability_result | Print a commutability assessment |
| print.compare_equation | Print a multiple-equation comparison |
| print.cutpoint_split | Print a fixed-cutpoint data split |
| print.describe_table | S3 print method for describe_table |
| print.diagnostics | S3 print method: format 'diagnostics' output (diagnostic performance metrics) |
| print.dilution_recovery | Print dilution-recovery results |
| print.factor_split | Print a categorical data split |
| print.fit_equation | Print an equation fit |
| print.fourfold_table | S3 print method: format a 'fourfold_table' object as a fourfold table |
| print.hook_effect | Print high-dose hook-effect results |
| print.interference_dose_response | Print interference dose-response results |
| print.interference_paired | Print paired interference estimates |
| print.interference_patient | Print patient-specimen interference results |
| print.interference_replicates | Print EP07 replicate-count results |
| print.kappa_table | S3 print method: format 'kappa_table' output |
| print.linearity | Print a linearity analysis |
| print.linearity_endpoints | Calculate target LOW and HIGH concentrations for verification |
| print.linearity_panel | Design a HIGH/LOW linearity panel |
| print.linearity_replicates | Calculate replicate counts for a linearity study |
| print.mcnemar_table | S3 print method: format 'mcnemar_table' output |
| print.mcr | S3 print method |
| print.mcr_bias | Print method for bias results |
| print.mcr_bland_altman | Print method for Bland-Altman results |
| print.mcr_correlation | Print method for correlation results |
| print.mcr_describe | Print method for describe results |
| print.mcr_outlier | Print method for outlier results |
| print.mcr_regression | Print method for regression results |
| print.mkt | Print mean kinetic temperature results |
| print.normal_test | Print a normality test result |
| print.outliers_test | Print an outlier detection result |
| print.precision | Print a precision object overview |
| print.precision_ci | Print confidence intervals |
| print.precision_normal | Print normality test results |
| print.precision_outlier | Print outlier detection results |
| print.precision_profile | Print precision profile fits |
| print.precision_vc | Print variance component table |
| print.qc_chart | Print a Levey-Jennings QC chart analysis |
| print.reference_bias | Print reference-material bias results |
| print.reference_interval | Print reference interval analysis results |
| print.roc | Print a ROC analysis object |
| print.roc_auc_comparison | Print a paired AUC comparison |
| print.roc_auc_table | Print method for roc AUC table |
| print.roc_cutoff_table | Print method for roc cutoff table |
| print.roc_describe | Print method for roc describe results |
| print.roc_mlr | Print a multivariate ROC model |
| print.sample_size_bland_altman | Print Bland-Altman sample-size results |
| print.sample_size_proportion | Print single-proportion target-value sample-size results |
| print.sample_size_proportion_ci | Print single-proportion confidence-interval sample-size results |
| print.sensitivity | Print an analytical-sensitivity analysis result |
| print.sensitivity_design | Print an analytical-sensitivity study design |
| print.spike_concentration | Print spike-concentration calculations |
| print.spike_recovery | Print spike-recovery results |
| print.stability_bias | Print stability-bias results |
| print.stability_plan | Print a stability study time-point plan |
| print.stability_regression | Print stability-regression results |
| print.stability_time | Print stability limit-time predictions |
| print.tukey | S3 print method: tukey |
| print.uncertainty_budget | Print a combined uncertainty budget |
| print.uncertainty_characterization | Print characterization uncertainty results |
| print.uncertainty_component | Print an uncertainty component |
| print.uncertainty_homogeneity | Print between-unit homogeneity uncertainty results |
| print.uncertainty_iqc | Print IQC uncertainty results |
| print.uncertainty_propagation | Print propagated uncertainty results |
| print.uncertainty_stability | Print stability uncertainty results |
| print.uncertainty_traceability | Print traceability-chain uncertainty results |
| print.youden_plot | Print a Youden plot analysis |
| profile | Describe an analysis object |
| profile.precision | S3 precision profile method |
| qc_chart | Levey-Jennings QC chart + Westgard rule evaluation |
| raw_to_table | Core function: raw data -> frequency fourfold table (silent construction) |
| reference_bias | Estimate bias using reference materials |
| reference_interval | Reference interval analysis |
| regression | Describe an analysis object |
| regression.mcr | Regression analysis (S3 method) |
| replicate_to_mean | Summarize replicate measurements |
| report | Describe an analysis object |
| report.precision | Generate an EP05 precision summary table |
| residuals.fit_equation | Extract residuals from an equation fit |
| roc | roc constructor |
| sample_size_bland_altman | Sample size for Bland-Altman agreement assessment |
| sample_size_proportion | Sample size for a single-proportion target-value test |
| sample_size_proportion_ci | Sample size for a single-proportion confidence interval |
| sensitivity_design | Summarize an analytical-sensitivity study design |
| sensitivity_lob | Establish a limit of blank |
| sensitivity_lod | Establish a limit of detection |
| sensitivity_loq | Establish a limit of quantitation |
| sensitivity_verify | Verify an LoB, LoD, or LoQ claim |
| spike_concentration | Calculate the concentration of a spiked sample |
| spike_recovery | Calculate spike recovery against a solvent control |
| split_by_cutpoints | Split a data frame at fixed numeric cutpoints |
| split_by_factors | Split a data frame by the levels of one categorical variable |
| stability_bias | stability_bias - Node-wise bias analysis across storage conditions |
| stability_plan | stability_plan - CLSI EP25 Appendix A time-point planning |
| stability_regression | stability_regression - CLSI EP25 regression-based stability assessment |
| stability_time | stability_time - Predict time-to-limit from a stability regression |
| summary.commutability_result | Summarize a commutability assessment |
| summary.fourfold_table | S3 summary method |
| summary.mcr | S3 summary method |
| summary.precision | S3 summary method |
| summary.roc | Summary (S3 method) |
| tukey | Describe an analysis object |
| tukey.bottle_anova | Tukey HSD post-hoc test (S3 method) |
| uncertainty_characterization | Estimate uncertainty from interlaboratory characterization |
| uncertainty_combine | Combine standard uncertainty components |
| uncertainty_homogeneity | Estimate the between-unit homogeneity uncertainty of a reference material |
| uncertainty_iqc | Estimate top-down uncertainty from internal quality-control data |
| uncertainty_propagate | Propagate uncertainty through a general measurement model |
| uncertainty_stability | Estimate long-term stability uncertainty |
| uncertainty_traceability | Accumulate uncertainty along a metrological traceability chain |
| uncertainty_type_a | Estimate a Type A uncertainty component |
| uncertainty_type_b | Estimate a Type B uncertainty component |
| variance | Describe an analysis object |
| variance.precision | S3 variance component estimation method |
| vc | Describe an analysis object |
| vc.precision | Backward-compatible alias for variance.precision |
| youden_plot | Youden plot |