N>=3 methods are used to measure each of n items. The data are used to estimate simultaneously systematic error (bias) and random error (imprecision). Observed measurements for each method or device are assumed to be linear functions of the unknown true values and the errors are assumed normally distributed. Maximum likelihood estimation is used for the imprecision standard deviation estimates. Pairwise calibration curves and plots can be easily generated.
| Version: | 2.0.2 |
| Imports: | graphics, grDevices, stats, utils |
| Published: | 2015-11-03 |
| Author: | Richard A. Bilonick |
| Maintainer: | Richard A. Bilonick <rabilonick at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | merror results |
| Reference manual: | merror.pdf |
| Package source: | merror_2.0.2.tar.gz |
| Windows binaries: | r-devel: merror_2.0.2.zip, r-release: merror_2.0.2.zip, r-oldrel: merror_2.0.2.zip |
| macOS binaries: | r-release: merror_2.0.2.tgz, r-oldrel: merror_2.0.2.tgz |
| Old sources: | merror archive |
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