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multIntTestFunc: Provides Test Functions for Multivariate Integration

Provides implementations of functions that can be used to test multivariate integration routines. The package covers six different integration domains (unit hypercube, unit ball, unit sphere, standard simplex, non-negative real numbers and R^n). For each domain several functions with different properties (smooth, non-differentiable, ...) are available. The functions are available in all dimensions n >= 1. For each function the exact value of the integral is known and implemented to allow testing the accuracy of multivariate integration routines. Details on the available test functions can be found at on the development website.

Version: 0.2.0
Imports: methods, mvtnorm, pracma, stats
Suggests: knitr, rmarkdown, statmod, testthat
Published: 2023-04-19
Author: Klaus Herrmann [aut, cre]
Maintainer: Klaus Herrmann <klaus.herrmann at usherbrooke.ca>
License: MIT + file LICENSE
URL: https://github.com/KlausHerrmann/multIntTestFunc
NeedsCompilation: no
Materials: NEWS
CRAN checks: multIntTestFunc results

Documentation:

Reference manual: multIntTestFunc.pdf
Vignettes: Integration Test for Rn
Monte Carlo Integration Tests for the Unit Hypercube

Downloads:

Package source: multIntTestFunc_0.2.0.tar.gz
Windows binaries: r-devel: multIntTestFunc_0.2.0.zip, r-release: multIntTestFunc_0.2.0.zip, r-oldrel: multIntTestFunc_0.2.0.zip
macOS binaries: r-release (arm64): multIntTestFunc_0.2.0.tgz, r-oldrel (arm64): multIntTestFunc_0.2.0.tgz, r-release (x86_64): multIntTestFunc_0.2.0.tgz, r-oldrel (x86_64): multIntTestFunc_0.2.0.tgz
Old sources: multIntTestFunc archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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