H.2                     Datasets from the GUM "Guide to the expression
                        of uncertainties in measurement" (2008)
WelchSatter             Welch-Satterthwaite approximation to the
                        'effective degrees of freedom'
bigcor                  Creating very large correlation/covariance
                        matrices
colVarsC                Fast column- and row-wise versions of variance
                        coded in C++
contribution            Contribution to propagated uncertainty for each
                        variable
cor2cov                 Converting a correlation matrix into a
                        covariance matrix
fitDistr                Fitting distributions to observations/Monte
                        Carlo simulations
interval                Uncertainty propagation based on interval
                        arithmetics
makeDat                 Create a dataframe from the variables defined
                        in an expression
makeGrad                Utility functions for creating Gradient- and
                        Hessian-like matrices with symbolic derivatives
                        and evaluating them in an environment
mixCov                  Mixing covariances matrices, raw data, summary
                        data or error values into a single covariance
                        matrix
numGrad                 Functions for creating Gradient and Hessian
                        matrices by numerical differentiation
                        (Richardson's method) of the partial
                        derivatives
plot.propagate          Plotting function for 'propagate' objects
predictNLS              Confidence intervals for nonlinear models based
                        on uncertainty propagation
print.propagate         Printing function for 'propagate' objects
propagate               Propagation of uncertainty using higher-order
                        Taylor expansion and Monte Carlo simulation
rDistr                  Creating random samples from a variety of
                        useful distributions
skewness                Skewness and (excess) Kurtosis of a vector of
                        values
statVec                 Transform an input vector into one with defined
                        mean and standard deviation
summary.propagate       Summary function for 'propagate' objects
