Accuracy and Precision of Measurements

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Documentation for package ‘merror’ version 1.0

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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.
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.
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.
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.var.mle Compute process variance.
process.var.mle.jaech.err Compute process variance but with minor error in Jaech Fortran code.
sigma.mle Computes the ith iteration for computing the squared imprecision estimates.