ValCurvaR: Validation of Analytical Calibration Curves

Provides transparent tools for fitting and evaluating analytical calibration curves. Ordinary and weighted least squares fits are supported, together with lack-of-fit, heteroscedasticity and influence diagnostics, back-calculation, prediction uncertainty and publication-ready base graphics. The workflow is designed to support validation studies rather than rely on a single goodness-of-fit statistic. Methods follow Magnusson and Ornemark (2014) <https://www.eurachem.org/images/stories/Guides/pdf/MV_guide_2nd_ed_EN.pdf> and International Council for Harmonisation (2023) <https://database.ich.org/sites/default/files/ICH_Q2%28R2%29_Guideline_2023_1130_ErrorCorrection_2025.pdf>.

Version:	0.1.0
Imports:	graphics, grDevices, lmtest, nortest, outliers, stats
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-09-21
DOI:	10.32614/CRAN.package.ValCurvaR (may not be active yet)
Author:	Isaque Wilkson de Sousa Brandão [aut, cre]
Maintainer:	Isaque Wilkson de Sousa Brandão <isaquebrand at gmail.com>
BugReports:	https://github.com/isaquebrand/ValCurvaR/issues
License:	MIT + file LICENSE
URL:	https://github.com/isaquebrand/ValCurvaR
NeedsCompilation:	no
Materials:	README
CRAN checks:	ValCurvaR results

Documentation:

Reference manual:	ValCurvaR.html , ValCurvaR.pdf
Vignettes:	Eurachem A5.2: OLS, WLS e diagnosticos da curva analitica (source, R code)

Downloads:

Package source:	ValCurvaR_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): ValCurvaR_0.1.0.tgz, r-release (x86_64): ValCurvaR_0.1.0.tgz, r-oldrel (x86_64): ValCurvaR_0.1.0.tgz

Linking:

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