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