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... |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.