{ "_id": "6aad274d3d719c1f84076c60", "Package": "ivdtools", "Title": "Statistical Tools for Evaluation of in Vitro Diagnostic Reagents", "Version": "0.2.5", "Authors@R": "person(\"hiox-tech\", email = \"GeorgeBinDragon@outlook.com\",\nrole = c(\"cph\", \"aut\", \"cre\"))", "Description": "Provides statistical workflows used in the evaluation of\nin vitro diagnostic reagents. Facilities include method\ncomparison, commutability assessment, Bland-Altman and receiver\noperating characteristic analysis, qualitative agreement, C5\nand C95 estimation, precision and variance-component analysis,\nlinearity, interference, dilution and spiking studies,\nhigh-dose hook assessment, measurement uncertainty,\nreference-material bias, reference intervals, stability\nstudies, quality-control charts, curve fitting, analytical\nsensitivity, outlier and normality assessment, and sample-size\ncalculations. For methodological details, see Bland and Altman\n(1986) , Passing and Bablok\n(1983) , Linnet (1993)\n, Hawkins and Kraker (2026)\n, Hanley and McNeil (1982)\n, Horn et al. (1998)\n, Westgard et al. (1981)\n, and Lu et al. (2016)\n.", "License": "MIT + file LICENSE", "URL": "https://github.com/hiox-tech/ivdtools", "BugReports": "https://github.com/hiox-tech/ivdtools/issues", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-18 11:50:22 UTC", "User": "root" }, "Author": "hiox-tech [cph, aut, cre]", "Maintainer": "hiox-tech ", "Config/pak/sysreqs": "cmake make", "Repository": "https://hiox-tech.r-universe.dev", "Date/Publication": "2026-09-18 07:33:27 UTC", "RemoteUrl": "https://github.com/hiox-tech/ivdtools", "RemoteRef": "HEAD", "RemoteSha": "44ecd72a622917190f729f070fff217d582a5448", "_user": "hiox-tech", "_type": "src", "_file": "ivdtools_0.2.5.tar.gz", "_fileid": "https://r2.ropensci.org/1e690807fc4ec582321508eb7f631b476f789f7edeee3b66a80bec239b11f528", "_filesize": 21183655, "_sha256": "1e690807fc4ec582321508eb7f631b476f789f7edeee3b66a80bec239b11f528", 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{ "page": "c5_c95", "title": "Estimate C5 and C95 from an internal continuous response", "topics": [ "c5_c95" ] }, { "page": "ci.precision", "title": "S3 confidence interval method", "topics": [ "ci.precision" ] }, { "page": "coef.fit_equation", "title": "Extract coefficients from an equation fit", "topics": [ "coef.fit_equation" ] }, { "page": "commutability", "title": "Assess reference-material commutability using four standard approaches", "topics": [ "commutability" ] }, { "page": "compare_equation", "title": "Fit and compare multiple equations", "topics": [ "compare_equation" ] }, { "page": "continuous_to_binary", "title": "Convert quantitative columns to binary based on cutoff values", "topics": [ "continuous_to_binary" ] }, { "page": "correlation.mcr", "title": "Correlation analysis (S3 method)", "topics": [ "correlation.mcr" ] }, { "page": "counts_to_table", "title": "Construct a 2x2 contingency table from TP / FP / TN / FN frequencies (silent construction)", "topics": [ 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"diagnostics.fourfold_table" ] }, { "page": "dilution_recovery", "title": "Calculate dilution recovery", "topics": [ "dilution_recovery" ] }, { "page": "fit_equation", "title": "General-purpose equation fitting", "topics": [ "fit_equation" ] }, { "page": "hook_effect", "title": "Summarize a high-dose hook-effect experiment", "topics": [ "hook_effect" ] }, { "page": "interference_dose_response", "title": "Analyze an EP07 interference dose-response experiment", "topics": [ "interference_dose_response" ] }, { "page": "interference_paired", "title": "Analyze paired-difference interference data", "topics": [ "interference_paired" ] }, { "page": "interference_patient", "title": "Evaluate interference with patient specimens", "topics": [ "interference_patient" ] }, { "page": "interference_replicates", "title": "Calculate replicate counts for an EP07 paired-difference experiment", "topics": [ "interference_replicates" ] }, { "page": "ivd_bottle_example", "title": "Small deterministic one-way 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] }, { "page": "linearity_replicates", "title": "Calculate replicate counts for a linearity study", "topics": [ "linearity_replicates", "print.linearity_replicates" ] }, { "page": "list_equation", "title": "Print the equation registry", "topics": [ "list_equation" ] }, { "page": "list_sadler", "title": "List Sadler precision profile model equations", "topics": [ "list_sadler" ] }, { "page": "list_westgard", "title": "List Westgard QC rules", "topics": [ "list_westgard" ] }, { "page": "mcnemar.fourfold_table", "title": "McNemar Test (for fourfold_table only)", "topics": [ "mcnemar.fourfold_table" ] }, { "page": "mcr", "title": "mcr constructor", "topics": [ "mcr" ] }, { "page": "mkt", "title": "mkt - Mean Kinetic Temperature", "topics": [ "mkt" ] }, { "page": "mlr.roc", "title": "Multivariate Logistic Regression (S3 method)", "topics": [ "mlr.roc" ] }, { "page": "normal_test", "title": "Normality test", "topics": [ "normal_test" ] }, { "page": "normal.precision", "title": "S3 normality test method", "topics": [ "normal.precision" ] }, { "page": "outlier", "title": "Detect outliers in an analysis object", "topics": [ "outlier" ] }, { "page": "outlier.mcr", "title": "Outlier detection (S3 method)", "topics": [ "outlier.mcr" ] }, { "page": "outlier.precision", "title": "S3 outlier detection method", "topics": [ "outlier.precision" ] }, { "page": "outliers_test", "title": "Outlier detection", "topics": [ "outliers_test" ] }, { "page": "plot.arrhenius", "title": "Plot Arrhenius stability analysis", "topics": [ "plot.arrhenius" ] }, { "page": "plot.c5_c95", "title": "Plot C5 and C95 results", "topics": [ "plot.c5_c95" ] }, { "page": "plot.commutability_result", "title": "Plot a commutability assessment", "topics": [ "plot.commutability_result" ] }, { "page": "plot.dilution_recovery", "title": "Plot dilution-recovery results", "topics": [ "plot.dilution_recovery" ] }, { "page": "plot.fit_equation", "title": "Plot an equation fit", "topics": [ "plot.fit_equation" ] }, { "page": "plot.hook_effect", "title": "Plot a high-dose hook-effect experiment", "topics": [ "plot.hook_effect" ] }, { "page": "plot.interference_dose_response", "title": "Plot interference dose-response results", "topics": [ "plot.interference_dose_response" ] }, { "page": "plot.interference_paired", "title": "Plot paired interference estimates", "topics": [ "plot.interference_paired" ] }, { "page": "plot.interference_patient", "title": "Plot patient-specimen interference results", "topics": [ "plot.interference_patient" ] }, { "page": "plot.linearity", "title": "Plot a linearity analysis", "topics": [ "plot.linearity" ] }, { "page": "plot.mcr", "title": "Plot (S3 method) - unified plotting interface", "topics": [ "plot.mcr" ] }, { "page": "plot.normal_test", "title": "Plot normality diagnostics", "topics": [ "plot.normal_test" ] }, { "page": "plot.precision", "title": "S3 plot method", "topics": [ "plot.precision" ] }, { "page": "plot.qc_chart", "title": "Plot a Levey-Jennings QC chart", "topics": [ "plot.qc_chart" ] }, { "page": "plot.reference_interval", "title": "Plot reference interval results", "topics": [ "plot.reference_interval" ] }, { "page": "plot.roc", "title": "Plot ROC or cutoff-dependent diagnostic metrics", "topics": [ "plot.roc" ] }, { "page": "plot.sensitivity", "title": "Plot an analytical-sensitivity analysis", "topics": [ "plot.sensitivity" ] }, { "page": "plot.spike_recovery", "title": "Plot spike-recovery results", "topics": [ "plot.spike_recovery" ] }, { "page": "plot.stability_bias", "title": "Plot stability bias across storage conditions", "topics": [ "plot.stability_bias" ] }, { "page": "plot.stability_regression", "title": "Plot a stability regression", "topics": [ "plot.stability_regression" ] }, { "page": "plot.stability_time", "title": "Plot stability limit-time predictions", "topics": [ "plot.stability_time" ] }, { "page": "plot.uncertainty_budget", "title": "Plot an uncertainty budget", "topics": [ "plot.uncertainty_budget" ] }, { "page": "plot.uncertainty_propagation", "title": "Plot propagated uncertainty", "topics": [ "plot.uncertainty_propagation" ] }, { "page": "plot.uncertainty_traceability", "title": "Plot cumulative uncertainty through a traceability chain", "topics": [ "plot.uncertainty_traceability" ] }, { "page": "plot.youden_plot", "title": "Plot a Youden analysis", "topics": [ "plot.youden_plot" ] }, { "page": "precision", "title": "Precision variance component analysis", "topics": [ "precision" ] }, { "page": "predict.fit_equation", "title": "Predict fitted values or inverse-predict (from y to x)", "topics": [ "predict.fit_equation" ] }, { "page": "predict.interference_dose_response", "title": "Predict from an interference dose-response analysis", "topics": [ "predict.interference_dose_response" ] }, { "page": "predict.mcr", "title": "Predict (S3 method) - predict based on regression results", "topics": [ "predict.mcr" ] }, { "page": "predict.roc", "title": "Predict (S3 method) - predict from multivariate logistic regression", "topics": [ "predict.roc" ] }, { "page": "print.arrhenius", "title": "Print Arrhenius stability-analysis results", "topics": [ "print.arrhenius" ] }, { "page": "print.bottle_anova", "title": "S3 print method: bottle_anova", "topics": [ "print.bottle_anova" ] }, { "page": "print.c5_c95", "title": "Print C5 and C95 estimates", "topics": [ "print.c5_c95" ] }, { "page": "print.commutability_result", "title": "Print a commutability assessment", "topics": [ "print.commutability_result" ] }, { "page": "print.compare_equation", "title": "Print a multiple-equation comparison", "topics": [ "print.compare_equation" ] }, { "page": "print.cutpoint_split", "title": "Print a fixed-cutpoint data split", "topics": [ "print.cutpoint_split" ] }, { "page": "print.describe_table", "title": "S3 print method for describe_table", "topics": [ "print.describe_table" ] }, { "page": "print.diagnostics", "title": "S3 print method: format 'diagnostics' output (diagnostic performance metrics)", "topics": [ "print.diagnostics" ] }, { "page": "print.dilution_recovery", "title": "Print dilution-recovery results", "topics": [ "print.dilution_recovery" ] }, { "page": "print.factor_split", "title": "Print a categorical data split", "topics": [ "print.factor_split" ] }, { "page": "print.fit_equation", "title": "Print an equation fit", "topics": [ "print.fit_equation" ] }, { "page": "print.fourfold_table", "title": "S3 print method: format a 'fourfold_table' object as a fourfold table", "topics": [ "print.fourfold_table" ] }, { "page": "print.hook_effect", "title": "Print high-dose hook-effect results", "topics": [ "print.hook_effect" ] }, { "page": "print.interference_dose_response", "title": "Print interference dose-response results", "topics": [ "print.interference_dose_response" ] }, { "page": "print.interference_paired", "title": "Print paired interference estimates", "topics": [ "print.interference_paired" ] }, { "page": "print.interference_patient", "title": "Print patient-specimen interference results", "topics": [ "print.interference_patient" ] }, { "page": "print.interference_replicates", "title": "Print EP07 replicate-count results", "topics": [ "print.interference_replicates" ] }, { "page": "print.kappa_table", "title": "S3 print method: format 'kappa_table' output", "topics": [ "print.kappa_table" ] }, { "page": "print.linearity", "title": "Print a linearity analysis", "topics": [ "print.linearity" ] }, { "page": "print.mcnemar_table", "title": "S3 print method: format 'mcnemar_table' output", "topics": [ "print.mcnemar_table" ] }, { "page": "print.mcr", "title": "S3 print method", "topics": [ "print.mcr" ] }, { "page": "print.mcr_bias", "title": "Print method for bias results", "topics": [ "print.mcr_bias" ] }, { "page": "print.mcr_bland_altman", "title": "Print method for Bland-Altman results", "topics": [ "print.mcr_bland_altman" ] }, { "page": "print.mcr_correlation", "title": "Print method for correlation results", "topics": [ "print.mcr_correlation" ] }, { "page": "print.mcr_describe", "title": "Print method for describe results", "topics": [ "print.mcr_describe" ] }, { "page": "print.mcr_outlier", "title": "Print method for outlier results", "topics": [ "print.mcr_outlier" ] }, { "page": "print.mcr_regression", "title": "Print method for regression results", "topics": [ "print.mcr_regression" ] }, { "page": "print.mkt", "title": "Print mean kinetic temperature results", "topics": [ "print.mkt" ] }, { "page": "print.normal_test", "title": "Print a normality test result", "topics": [ "print.normal_test" ] }, { "page": "print.outliers_test", "title": "Print an outlier detection result", "topics": [ "print.outliers_test" ] }, { "page": "print.precision", "title": "Print a precision object overview", "topics": [ "print.precision" ] }, { "page": "print.precision_ci", "title": "Print confidence intervals", "topics": [ "print.precision_ci" ] }, { "page": "print.precision_normal", "title": "Print normality test results", "topics": [ "print.precision_normal" ] }, { "page": "print.precision_outlier", "title": "Print outlier detection results", "topics": [ "print.precision_outlier" ] }, { "page": "print.precision_profile", "title": "Print precision profile fits", "topics": [ "print.precision_profile" ] }, { "page": "print.precision_vc", "title": "Print variance component table", "topics": [ "print.precision_vc" ] }, { "page": "print.qc_chart", "title": "Print a Levey-Jennings QC chart analysis", "topics": [ "print.qc_chart" ] }, { "page": "print.reference_bias", "title": "Print reference-material bias results", "topics": [ "print.reference_bias" ] }, { "page": "print.reference_interval", "title": "Print reference interval analysis results", "topics": [ "print.reference_interval" ] }, { "page": "print.roc", "title": "Print a ROC analysis object", "topics": [ "print.roc" ] }, { "page": "print.roc_auc_comparison", "title": "Print a paired AUC comparison", "topics": [ "print.roc_auc_comparison" ] }, { "page": "print.roc_auc_table", "title": "Print method for roc AUC table", "topics": [ "print.roc_auc_table" ] }, { "page": "print.roc_cutoff_table", "title": "Print method for roc cutoff table", "topics": [ "print.roc_cutoff_table" ] }, { "page": "print.roc_describe", "title": "Print method for roc describe results", "topics": [ "print.roc_describe" ] }, { "page": "print.roc_mlr", "title": "Print a multivariate ROC model", "topics": [ "print.roc_mlr" ] }, { "page": "print.sample_size_bland_altman", "title": "Print Bland-Altman sample-size results", "topics": [ "print.sample_size_bland_altman" ] }, { "page": "print.sample_size_proportion", "title": "Print single-proportion target-value sample-size results", "topics": [ "print.sample_size_proportion" ] }, { "page": "print.sample_size_proportion_ci", "title": "Print single-proportion confidence-interval sample-size results", "topics": [ "print.sample_size_proportion_ci" ] }, { "page": "print.sensitivity", "title": "Print an analytical-sensitivity analysis result", "topics": [ "print.sensitivity" ] }, { "page": "print.sensitivity_design", "title": "Print an analytical-sensitivity study design", "topics": [ "print.sensitivity_design" ] }, { "page": "print.spike_concentration", "title": "Print spike-concentration calculations", "topics": [ "print.spike_concentration" ] }, { "page": "print.spike_recovery", "title": "Print spike-recovery results", "topics": [ "print.spike_recovery" ] }, { "page": "print.stability_bias", "title": "Print stability-bias results", "topics": [ "print.stability_bias" ] }, { "page": "print.stability_plan", "title": "Print a stability study time-point plan", "topics": [ "print.stability_plan" ] }, { "page": "print.stability_regression", "title": "Print stability-regression results", "topics": [ "print.stability_regression" ] }, { "page": "print.stability_time", "title": "Print stability limit-time predictions", "topics": [ "print.stability_time" ] }, { "page": 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