merror: Accuracy and Precision of Measurements

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. Pairwise calibration curves and plots can be easily generated. Unlike the 'ncb.od' function, the 'omx' function builds a one-factor measurement error model using 'OpenMx' and allows missing values, uses full information maximum likelihood to estimate parameters, and provides both likelihood-based and bootstrapped confidence intervals for all parameters, in addition to Wald-type intervals.

Version: 3.0
Imports: graphics, grDevices, stats, utils, OpenMx
Published: 2023-08-29
DOI: 10.32614/CRAN.package.merror
Author: Richard A. Bilonick
Maintainer: Richard A. Bilonick <rabilonick at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: merror results


Reference manual: merror.pdf


Package source: merror_3.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): merror_3.0.tgz, r-oldrel (arm64): merror_3.0.tgz, r-release (x86_64): merror_3.0.tgz, r-oldrel (x86_64): merror_3.0.tgz
Old sources: merror archive


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