quantchem: Quantitative chemical analysis: calibration and evaluation of results

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).

Getting started

Package details

AuthorLukasz Komsta
MaintainerLukasz Komsta <lukasz.komsta@umlub.pl>
LicenseGPL (>= 2)
URL http://www.r-project.org http://www.komsta.net/
Package repositoryView on CRAN
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quantchem documentation built on May 30, 2017, 5:28 a.m.