Statistical evaluation of calibration curves by different regression techniques: ordinary, weighted, robust (up to 4th order polynomial). Log-log and Box-Cox transform, estimation of optimal power and weighting scheme. Tests for heteroscedascity and normality of residuals. Different kinds of plots commonly used in illustrating calibrations. Easy "inverse prediction" of concentration by given responses and statistical evaluation of results (comparison of precision and accuracy by common tests).
Package details |
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Author | Lukasz Komsta |
Maintainer | Lukasz Komsta <lukasz.komsta@umlub.pl> |
License | GPL (>= 2) |
Version | 0.13 |
URL | http://www.r-project.org http://www.komsta.net/ |
Package repository | View on CRAN |
Installation |
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