WelchSatter             Effective degrees of freedom:
                        Welch-Satterthwaite formula and its
                        generalization to correlated components
bigcor                  Creating very large correlation/covariance
                        matrices
colVarsC                Fast column- and row-wise versions of variance
                        coded in C++
conformity              Conformity assessment with measurement
                        uncertainty (JCGM 106:2012)
cor2cov                 Converting a correlation matrix into a
                        covariance matrix
corDist                 Correlated Monte Carlo samples of input
                        quantities with arbitrary distributions
datasets                Datasets from the GUM (JCGM 100:2008), its
                        Supplements 1 and 2 (JCGM 101:2008, JCGM
                        102:2011), NIST TN 1900 and EURACHEM QUAM
doGauge                 Gauge propagate against published examples of
                        measurement uncertainty evaluation
fitDistr                Fitting distributions to observations/Monte
                        Carlo simulations
interval                Range of a function over intervals of its input
                        variables
makeDat                 Create the input data for 'propagate' from the
                        workspace, a file or an uncertainty budget
makeGrad                Utility functions for creating gradient and
                        Hessian matrices with symbolic derivatives and
                        evaluating them in an environment
mixCov                  Aggregating covariance matrices and/or variance
                        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
propagateMV             Uncertainty propagation for several output
                        quantities (JCGM 102:2011)
rDistr                  Creating random samples from a variety of
                        useful distributions
report                  PDF report of one or several uncertainty
                        evaluations
skewness                Skewness and (excess) Kurtosis of a vector of
                        values or of the columns of a matrix/data frame
sobol                   Sobol' sensitivity indices from a propagate
                        object or sample matrices
statVec                 Transform an input vector into one with defined
                        mean and standard deviation
stochContr              Stochastic contribution analysis of the Monte
                        Carlo output
summary.propagate       Summary function for 'propagate' objects
