A B C D E G H I K L M P Q R S U V W X misc
algA | Robust estimation of location and scale using Algorithm A |
algS | 'Algorithm S' - robust estimate of polled standard deviation |
apricot | Collaborative study results for fibre content in an apricot test material |
barplot.mandel.kh | Barplot of Mandel's h or k statistics |
boxplot.mandel.kh | Box plot of Mandel's h or k statistics |
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 |
construct.ilab | The 'ilab' class. |
contribs | Extract contributions from an 'uncert' object. |
cplot | Consistency plot for Key Comparisons |
dmandelh | Mandel's h statistic. |
dmandelk | Mandel's k statistic. |
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. |
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 |
Pb | Lead in wine |
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.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 |
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.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 |
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.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. |
[.ilab | The 'ilab' class. |