Package: merror 3.0

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.

Authors:Richard A. Bilonick <[email protected]>

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merror.pdf |merror.html✨
merror/json (API)

# Install 'merror' in R:
install.packages('merror', repos = c('https://rabilon.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • pm2.5 - PM 2.5 Concentrations from SCAMP Collocated Samplers
  • redshift - Spectroscopic and Photometric Galaxy Redshift Measurements

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.23 score 17 scripts 164 downloads 21 exports 16 dependencies

Last updated 1 years agofrom:9b606d2e3e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winOKOct 30 2024
R-4.5-linuxOKOct 30 2024
R-4.4-winOKOct 30 2024
R-4.4-macOKOct 30 2024
R-4.3-winOKOct 30 2024
R-4.3-macOKOct 30 2024

Exports:alpha.beta.sigmabeta.barcb.pdcploterrors.cberrors.nberrors.ncblrtmerror.pairsmlemle.se2ncb.odomxpanel.merrorprecision.grubbs.cb.pdprecision.grubbs.ncb.odprecision.mle.ncb.odprocess.sdprocess.var.mleprocess.var.mle.jaech.errsigma_mle

Dependencies:BHclidigestgluelatticelifecycleMASSMatrixmvtnormOpenMxRcppRcppEigenRcppParallelrlangrpfStanHeaders

Readme and manuals

Help Manual

Help pageTopics
Build an alpha-beta-sigma Matrix for Use with the cplot Functionalpha.beta.sigma
Compute the estimates of betas.beta.bar
Compute accuracy estimates and maximum likelihood estimates of precision for the constant bias measurement error model using paired data.cb.pd
Scatter plot of observations for a pair of devices with calibration curve.cplot
Extracts the estimated measurement errors assuming there is a constant bias and using the original data.errors.cb
Extracts the estimated measurement errors assuming there is no bias and using the original data.errors.nb
Extracts the estimated measurement errors assuming there is a nonconstant bias and using the original data values.errors.ncb
Likelihood ratio test for all betas equalling one.lrt
A modified '"pairs"' plot with all axes haveing the same range.merror.pairs
Compute maximum likelihood estimates of precision.mle
Compute squared standard errors for imprecision estimates for the constant bias model using paired data.mle.se2
Compute accuracy estimates and maximum likelihood estimates of precision for the nonconstant bias measurement error model using original data.ncb.od
Compute full information maximum likelihood estimates of accuracy and precision for the nonconstant bias measurement error model using 'OpenMx'.omx
Draw diagonal line (line of equality) on merror.pairs plotspanel.merror
PM 2.5 Concentrations from SCAMP Collocated Samplerspm2.5
Computes Grubbs' method of moments estimators of precision for the constant bias model using paired differences.precision.grubbs.cb.pd
Computes Grubbs' method of moments estimators of precision for the nonconstant bias model using original data values.precision.grubbs.ncb.od
Computes iterative approximation to mle precision estimates for nonconstant bias model using original data.precision.mle.ncb.od
Compute process standard deviationprocess.sd
Compute process variance.process.var.mle
Compute process variance but with minor error in Jaech Fortran code.process.var.mle.jaech.err
Spectroscopic and Photometric Galaxy Redshift Measurementsredshift
Computes the ith iteration for computing the squared imprecision estimates.sigma_mle