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merror  

Accuracy and Precision of Measurements
View on CRAN: Click here


Download and install merror package within the R console
Install from CRAN:
install.packages("merror")

Install from Github:
library("remotes")
install_github("cran/merror")

Install by package version:
library("remotes")
install_version("merror", "3.0")



Attach the package and use:
library("merror")
Maintained by
Richard A. Bilonick
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2006-02-08
Latest Update: 2023-08-29
Description:
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.
How to cite:
Richard A. Bilonick (2006). merror: Accuracy and Precision of Measurements. R package version 3.0, https://cran.r-project.org/web/packages/merror. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0 (2006-02-08 13:07), 2.0.1 (2012-03-19 17:28), 2.0.2 (2015-11-03 10:21), 2.0 (2011-08-04 16:39)
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Complete documentation for merror
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