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A B C D E G H I K L M N P Q R S U V W X Y misc
| metRology-package | Support for Metrological Applications |
| algA | Robust estimation of location and scale using Algorithm A |
| algS | 'Algorithm S' - robust estimate of pooled standard deviation |
| apricot | Collaborative study results for fibre content in an apricot test material |
| barplot.bootMSD | Object returned by 'bootMSD' and associated methods. |
| barplot.mandel.kh | Barplot of Mandel's h or k statistics |
| barplot.MSD | Methods for the object returned by 'msd'. |
| bkp | Draw block plots from block plot objects |
| blockplot | Generate a "block plot" - a histogram variant identifiying individual data points. |
| blockplot.default | Generate a "block plot" - a histogram variant identifiying individual data points. |
| blockplot.formula | Generate a "block plot" - a histogram variant identifiying individual data points. |
| bootMSD | Parametric bootstrap for median scaled difference |
| bootMSD-class | Object returned by 'bootMSD' and associated methods. |
| bootMSD.default | Parametric bootstrap for median scaled difference |
| bootMSD.MSD | Parametric bootstrap for median scaled difference |
| boxplot.mandel.kh | Box plot of Mandel's h or k statistics |
| bplot | Generate a "block plot" - a histogram variant identifiying individual data points. |
| buildCor | Functions to build correlation and covariance matrices. |
| buildCov | Functions to build correlation and covariance matrices. |
| c.ilab | Combine 'ilab' objects |
| cbind | Combine 'ilab' objects |
| cbind.default | Combine 'ilab' objects |
| cbind.ilab | Combine 'ilab' objects |
| chromium | Chromium data for two different materials included in an interlaboratory study |
| construct.ilab | The 'ilab' class. |
| contribs | Extract contributions from an 'uncert' object. |
| cov.dellipse | Constructs a covariance and location object for use in plotting data ellipses. |
| cplot | Consistency plot for Key Comparisons |
| d.ellipse | Construct data ellipses suitable for use with Youden plots. |
| data.ellipse | Construct data ellipses suitable for use with Youden plots. |
| dmandelh | Mandel's h statistic. |
| dmandelk | Mandel's k statistic. |
| dmsd | Median scaled difference probabilities and quantiles |
| dplot | Duewer concordance/apparent precision plot |
| drop1.uncert | Single variable deletions from the uncertainty budget. |
| drop1.uncertMC | Single variable deletions from the uncertainty budget. |
| dsl | derSimonian-Laird estimator |
| dsl.default | derSimonian-Laird estimator |
| dt.scaled | Scaled and shifted t distribution. |
| dtri | The triangular distribution. |
| duewer.plot | Duewer concordance/apparent precision plot |
| duewer.plot.default | Duewer concordance/apparent precision plot |
| Extract.ilab | The 'ilab' class. |
| gplot | Grouped plots of type "h" |
| GUM | Propagation of Measurement Uncertainty for Typical Metrology Applications Using the Methods Outlined in the GUM |
| GUM.H.1 | Example H.1 from the _Guide to the Expression of Uncertainty in Measurement_ |
| GUM.validate | Monte Carlo Check on the Statistical Performance of GUM Uncertainty Intervals Using Attained Coverage Probability |
| huber.estimate | M- and MM-estimators for location. |
| huber.estimate.default | M- and MM-estimators for location. |
| ilab-class | The 'ilab' class. |
| kplot | Dot-and-bar plot for Key Comparisons |
| kplot.default | Dot-and-bar plot for Key Comparisons |
| kplot.ilab | Dot-and-bar plot for Key Comparisons |
| kpoints | Dot-and-bar plot for Key Comparisons |
| LCS | LCS: Largest consistent subset |
| loc.est-class | The location estimate class |
| M-estimators | M- and MM-estimators for location. |
| mandel.h | Calculate Mandel's h statistics for replicate observations |
| mandel.h.array | Calculate Mandel's h statistics for replicate observations |
| mandel.h.data.frame | Calculate Mandel's h statistics for replicate observations |
| mandel.h.default | Calculate Mandel's h statistics for replicate observations |
| mandel.h.ilab | Calculate Mandel's h statistics for replicate observations |
| mandel.h.matrix | Calculate Mandel's h statistics for replicate observations |
| mandel.k | Calculate Mandel's k statistics for replicate observations |
| mandel.k.array | Calculate Mandel's k statistics for replicate observations |
| mandel.k.data.frame | Calculate Mandel's k statistics for replicate observations |
| mandel.k.default | Calculate Mandel's k statistics for replicate observations |
| mandel.k.ilab | Calculate Mandel's k statistics for replicate observations |
| mandel.k.matrix | Calculate Mandel's k statistics for replicate observations |
| mandel.kh | Calculate Mandel's h and k statistics for replicate observations |
| mandel.kh.array | Calculate Mandel's h and k statistics for replicate observations |
| mandel.kh.data.frame | Calculate Mandel's h and k statistics for replicate observations |
| mandel.kh.default | Calculate Mandel's h and k statistics for replicate observations |
| mandel.kh.ilab | Calculate Mandel's h and k statistics for replicate observations |
| mandel.kh.matrix | Calculate Mandel's h and k statistics for replicate observations |
| mandel.paule | Mandel-Paule calculation |
| methods.ilab | Methods for the 'ilab' class. |
| metRology | Support for Metrological Applications |
| mle.1wre | Vangel-Rukhin Maximum Likelihood Estimate |
| MM.estimate | M- and MM-estimators for location. |
| MM.estimate.default | M- and MM-estimators for location. |
| mpaule | Mandel-Paule calculation |
| mpaule.default | Mandel-Paule calculation |
| msd | Median scaled difference |
| MSD-class | Methods for the object returned by 'msd'. |
| nclass.23 | Generate a "block plot" - a histogram variant identifiying individual data points. |
| Pb | Lead in wine |
| plot.bootMSD | Object returned by 'bootMSD' and associated methods. |
| plot.d.ellipse | Plot data ellipses |
| plot.drop1.uncert | Single variable deletions from the uncertainty budget. |
| plot.ilab | Methods for the 'ilab' class. |
| plot.mandel.kh | Classical plots of Mandel's statistics. |
| plot.MSD | Methods for the object returned by 'msd'. |
| plot.uncert | Plot method for 'uncert' objects |
| plot.uncertMC | Plot method for 'uncertMC' objects |
| pmandelh | Mandel's h statistic. |
| pmandelk | Mandel's k statistic. |
| pmsd | Median scaled difference probabilities and quantiles |
| potassium | Potassium data for two different materials included in an interlaboratory study |
| print.bootMSD | Object returned by 'bootMSD' and associated methods. |
| print.d.ellipse | Construct data ellipses suitable for use with Youden plots. |
| print.drop1.uncert | Single variable deletions from the uncertainty budget. |
| print.ilab | Methods for the 'ilab' class. |
| print.loc.est | The location estimate class |
| print.MSD | Methods for the object returned by 'msd'. |
| print.summary.bootMSD | Object returned by 'bootMSD' and associated methods. |
| print.summary.vr.mle | Vangel-Rukhin Maximum Likelihood Estimate |
| print.uncert | The 'uncert' class |
| print.uncertMC | The 'uncertMC' class |
| pt.scaled | Scaled and shifted t distribution. |
| ptri | The triangular distribution. |
| qmandelh | Mandel's h statistic. |
| qmandelk | Mandel's k statistic. |
| qmsd | Median scaled difference probabilities and quantiles |
| qt.scaled | Scaled and shifted t distribution. |
| qtri | The triangular distribution. |
| rbind | Combine 'ilab' objects |
| rbind.default | Combine 'ilab' objects |
| rbind.ilab | Combine 'ilab' objects |
| reml.loc | Restricted maximum likelihood estimate of location |
| reml.loc.default | Restricted maximum likelihood estimate of location |
| rmandelh | Mandel's h statistic. |
| rmandelk | Mandel's k statistic. |
| RMstudy | Collaborative study results for metals in a reference material certification study |
| rt.scaled | Scaled and shifted t distribution. |
| rtri | The triangular distribution. |
| subset.ilab | The 'ilab' class. |
| summary.bootMSD | Object returned by 'bootMSD' and associated methods. |
| summary.d.ellipse | Construct data ellipses suitable for use with Youden plots. |
| summary.uncert | The 'uncert' class |
| summary.uncertMC | The 'uncertMC' class |
| uncert | Uncertainty estimation functions |
| uncert-class | The 'uncert' class |
| uncert.default | Uncertainty estimation functions |
| uncert.expression | Uncertainty estimation functions |
| uncert.formula | Uncertainty estimation functions |
| uncert.function | Uncertainty estimation functions |
| uncertMC | Monte Carlo evaluation of measurement uncertainty. |
| uncertMC-class | The 'uncertMC' class |
| update.uncert | Update and recalculate an uncertainty estimate |
| updateCor | Functions to build correlation and covariance matrices. |
| updateCov | Functions to build correlation and covariance matrices. |
| vr.mle | Vangel-Rukhin Maximum Likelihood Estimate |
| w.s | Welch-Satterthwaite effective degrees of freedom |
| welch.satterthwaite | Welch-Satterthwaite effective degrees of freedom |
| xs.plot | Mean/Standard deviation plot with confidence region. |
| xs.plot.default | Mean/Standard deviation plot with confidence region. |
| XSplot | Mean/Standard deviation plot with confidence region. |
| youden.plot | Youden plots |
| youden.plot.default | Youden plots |
| yplot | Youden plots |
| [.ilab | The 'ilab' class. |