valytics: Statistical Methods for Analytical Method Comparison and Validation

Provides statistical methods for analytical method comparison and validation studies. Implements Bland-Altman analysis for assessing agreement between measurement methods (Bland & Altman (1986) <doi:10.1016/S0140-6736(86)90837-8>), Passing-Bablok regression for non-parametric method comparison (Passing & Bablok (1983) <doi:10.1515/cclm.1983.21.11.709>), and Deming regression accounting for measurement error in both variables (Linnet (1993) <doi:10.1093/clinchem/39.3.424>). Also includes tools for setting quality goals based on biological variation (Fraser & Petersen (1993) <doi:10.1093/clinchem/39.7.1447>) and calculating Six Sigma metrics, precision experiments with variance component analysis, precision profiles for functional sensitivity estimation (Kroll & Emancipator (1993) <https://pubmed.ncbi.nlm.nih.gov/8448849/>). Commonly used in clinical laboratory method validation. Provides publication-ready plots and comprehensive statistical summaries.

Package details

AuthorMarcello Grassi [aut, cre] (ORCID: <https://orcid.org/0009-0008-8904-4988>)
MaintainerMarcello Grassi <marcello.grassi@tum.de>
LicenseGPL-3
Version0.4.1
URL https://github.com/marcellogr/valytics
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("valytics")

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valytics documentation built on Feb. 19, 2026, 5:06 p.m.