propagate: Propagation of Uncertainty
Version 1.0-4

Propagation of uncertainty using higher-order Taylor expansion and Monte Carlo simulation.

Browse man pages Browse package API and functions Browse package files

AuthorAndrej-Nikolai Spiess <a.spiess@uke.uni-hamburg.de>
Date of publication2014-09-27 12:26:57
MaintainerAndrej-Nikolai Spiess <a.spiess@uke.uni-hamburg.de>
LicenseGPL (>= 2)
Version1.0-4
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("propagate")

Man pages

bigcor: Creating very large correlation/covariance matrices
contribution: Contribution to propagated uncertainty for each variable
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: Mixing covariances matrices, raw data, summary data or error...
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 intervals for nonlinear models based on...
print.propagate: Printing function for 'propagate' objects
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...
summary.propagate: Summary function for 'propagate' objects
WelchSatter: Welch-Satterthwaite approximation to the 'effective degrees...

Functions

H.2 Man page
H.3 Man page
H.4 Man page
WelchSatter Man page Source code
bigcor Man page Source code
colVarsC Man page Source code
contribution Man page Source code
cor2cov Man page Source code
counter Source code
dJSB Source code
dJSU Source code
darcsin Source code
dbeta2 Source code
dctrap Source code
dgnorm Source code
dgtrap Source code
dgumbel Source code
dlaplace Source code
dmises Source code
dsn Source code
dst Source code
dtrap Source code
dtriang Source code
dweibull2 Source code
evalDerivs Man page Source code
fitDistr Man page Source code
interval Man page Source code
kurtosis Man page Source code
makeDat Man page Source code
makeGrad Man page Source code
makeHess Man page Source code
mixCov Man page Source code
numGrad Man page Source code
numHess Man page Source code
plot.propagate Man page Source code
predictNLS Man page Source code
print.interval Source code
print.propagate Man page Source code
propagate Man page Source code
rDistr Man page
rJSB Source code
rJSU Source code
rarcsin Source code
rbeta2 Source code
rctrap Source code
rescale Source code
rgnorm Source code
rgtrap Source code
rgumbel Source code
rlaplace Source code
rmises Source code
rowVarsC Man page Source code
rsn Source code
rst Source code
rtrap Source code
rtriang Source code
rweibull2 Source code
skewness Man page Source code
statVec Man page Source code
summary.propagate Man page Source code
tr Source code

Files

src
src/Makevars
src/rowVarsC.cpp
src/colVarsC.cpp
NAMESPACE
NEWS
data
data/H.3.rda
data/H.4.rda
data/H.2.rda
R
R/contribution.R
R/utils.R
R/matrixStats.R
R/distr-samplers.R
R/interval.R
R/numHess.R
R/fitDistr.R
R/print.propagate.R
R/plot.propagate.R
R/predictNLS.R
R/distr-densities.R
R/numGrad.R
R/cor2cov.R
R/WelchSatter.R
R/propagate.R
R/summary.propagate.R
R/makeDat.R
R/bigcor.R
R/mixCov.R
R/statVec.R
MD5
DESCRIPTION
man
man/makeDat.Rd
man/mixCov.Rd
man/print.propagate.Rd
man/cor2cov.Rd
man/contribution.Rd
man/fitDistr.Rd
man/interval.Rd
man/moments.Rd
man/numDerivs.Rd
man/datasets.rd
man/matrixStats.Rd
man/summary.propagate.Rd
man/rDistr.Rd
man/makeDerivs.Rd
man/propagate.Rd
man/plot.propagate.Rd
man/predictNLS.Rd
man/statVec.Rd
man/bigcor.Rd
man/WelchSatter.Rd
propagate documentation built on May 20, 2017, 2:49 a.m.