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