Statistical Methods for Analytical Method Comparison and Validation R package valytics version 0.4.1 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. Software Depends: R (>= 3.5.0) Imports: ggplot2, robslopes, stats, utils Suggests: testthat (>= 3.0.0), knitr (>= 1.43), rmarkdown (>= 2.22), lme4 (>= 1.1-33) Marcello Grassi <marcello.grassi@tum.de> Comprehensive R Archive Network (CRAN) Marcello Grassi [aut, cre] (ORCID: <https://orcid.org/0009-0008-8904-4988>) GPL-3 2026-02-19 application/tgz https://CRAN.R-project.org/package=valytics doi:10.32614/CRAN.package.valytics