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               Computes the estimated measurement errors
                        assuming there is a constant bias.
errors.nb               Computes the estimated measurement errors
                        assuming there is no bias.
errors.ncb              Computes the estimated measurement errors
                        assuming there is a nonconstant bias.
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 Collocated Data
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.jaech.err
                        Compute process variance but with minor error
                        in Jaech Fortran code.
process.var.mle         Compute process variance.
sigma.mle               Computes the ith iteration for computing the
                        squared imprecision estimates.
