R: Accuracy and Precision of Measurements

# Accuracy and Precision of Measurements

## Documentation for package ‘merror’ version 3.0

- DESCRIPTION file

## Help Pages

alpha.beta.sigma | Build an alpha-beta-sigma Matrix for Use with the cplot Function
beta.bar | Compute the estimates of betas.
cb.pd | Compute accuracy estimates and maximum likelihood estimates of precision for the constant bias measurement error model using paired data.
cplot | Scatter plot of observations for a pair of devices with calibration curve.
errors.cb | Extracts the estimated measurement errors assuming there is a constant bias and using the original data.
errors.nb | Extracts the estimated measurement errors assuming there is no bias and using the original data.
errors.ncb | Extracts the estimated measurement errors assuming there is a nonconstant bias and using the original data values.
lrt | Likelihood ratio test for all betas equalling one.
merror.pairs | A modified '"pairs"' plot with all axes haveing the same range.
mle | Compute maximum likelihood estimates of precision.
mle.se2 | Compute squared standard errors for imprecision estimates for the constant bias model using paired data.
ncb.od | Compute accuracy estimates and maximum likelihood estimates of precision for the nonconstant bias measurement error model using original data.
omx | Compute full information maximum likelihood estimates of accuracy and precision for the nonconstant bias measurement error model using 'OpenMx'.
panel.merror | Draw diagonal line (line of equality) on merror.pairs plots
pm2.5 | PM 2.5 Concentrations from SCAMP Collocated Samplers
precision.grubbs.cb.pd | Computes Grubbs' method of moments estimators of precision for the constant bias model using paired differences.
precision.grubbs.ncb.od | Computes Grubbs' method of moments estimators of precision for the nonconstant bias model using original data values.
precision.mle.ncb.od | Computes iterative approximation to mle precision estimates for nonconstant bias model using original data.
process.sd | Compute process standard deviation
process.var.mle | Compute process variance.
process.var.mle.jaech.err | Compute process variance but with minor error in Jaech Fortran code.
redshift | Spectroscopic and Photometric Galaxy Redshift Measurements
sigma_mle | Computes the ith iteration for computing the squared imprecision estimates.