| 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 | 
| evalDerivs | Utility functions for creating Gradient- and Hessian-like matrices with symbolic derivatives and evaluating them in an environment | 
| fitDistr | Fitting distributions to observations/Monte Carlo simulations | 
| H.2 | Datasets from the GUM "Guide to the expression of uncertainties in measurement" (2008) | 
| H.3 | Datasets from the GUM "Guide to the expression of uncertainties in measurement" (2008) | 
| H.4 | Datasets from the GUM "Guide to the expression of uncertainties in measurement" (2008) | 
| interval | Uncertainty propagation based on interval arithmetics | 
| kurtosis | Skewness and (excess) Kurtosis of a vector of values | 
| 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 | 
| makeHess | 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 | 
| numHess | 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 | 
| rowVarsC | Fast column- and row-wise versions of variance coded in C++ | 
| skewness | Skewness and (excess) Kurtosis of a vector of values | 
| 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 | 
| WelchSatter | Welch-Satterthwaite approximation to the 'effective degrees of freedom' |