Man pages for anspiess/propagate
Propagation of Uncertainty
| bigcor | Creating very large correlation/covariance matrices |
| cor2cov | Converting a correlation matrix into a covariance matrix |
| datasets | Datasets from the GUM "Guide to the expression of... |
| 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... |
| makeDerivs | Utility functions for creating Gradient- and Hessian-like... |
| matrixStats | Fast column- and row-wise versions of variance coded in C++ |
| mixCov | Aggregating covariances matrices and/or error vectors into a... |
| moments | Skewness and (excess) Kurtosis of a vector of values |
| numDerivs | Functions for creating Gradient and Hessian matrices by... |
| plot.propagate | Plotting function for 'propagate' objects |
| predictNLS | Confidence/prediction intervals for (weighted) nonlinear... |
| propagate | Propagation of uncertainty using higher-order Taylor... |
| rDistr | Creating random samples from a variety of useful... |
| statVec | Transform an input vector into one with defined mean and... |
| stochContr | Stochastic contribution analysis of Monte Carlo... |
| summary.propagate | Summary function for 'propagate' objects |
| WelchSatter | Welch-Satterthwaite approximation to the 'effective degrees... |
