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++
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                  Aggregating covariances matrices and/or error
                        vectors 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/prediction intervals for (weighted)
                        nonlinear models based on uncertainty
                        propagation
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
sobol                   Compute Sobol Sensitivity Indices from a
                        'propagate' object
statVec                 Transform an input vector into one with defined
                        mean and standard deviation
stochContr              Stochastic contribution analysis of Monte Carlo
                        simulation-derived propagated uncertainty
summary.propagate       Summary function for 'propagate' objects
