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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | ValCurvaR_0.1.0.tar.gz |
140.4 KiB |
0.1.0 |
rolling linux/noble R-4.5 | ValCurvaR_0.1.0.tar.gz |
140.3 KiB |
0.1.0 |
rolling source/ R- | ValCurvaR_0.1.0.tar.gz |
58.7 KiB |
0.1.0 |
latest linux/jammy R-4.5 | ValCurvaR_0.1.0.tar.gz |
140.4 KiB |
0.1.0 |
latest linux/noble R-4.5 | ValCurvaR_0.1.0.tar.gz |
140.3 KiB |
0.1.0 |
latest source/ R- | ValCurvaR_0.1.0.tar.gz |
58.7 KiB |
0.1.0 |
2026-04-23 source/ R- | ValCurvaR_0.1.0.tar.gz |
0 B |