Propagation of Uncertainty

Documentation for package ‘propagate’ version 1.0-6

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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'