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docopulae: Optimal Designs for Copula Models

A direct approach to optimal designs for copula models based on the Fisher information. Provides flexible functions for building joint PDFs, evaluating the Fisher information and finding optimal designs. It includes an extensible solution to summation and integration called 'nint', functions for transforming, plotting and comparing designs, as well as a set of tools for common low-level tasks.

Version: 0.4.0
Depends: R (≥ 3.1.2)
Imports: graphics, grDevices, methods, stats, utils
Suggests: copula, numDeriv, Deriv (≥ 3.8.5), cubature, SparseGrid, mvtnorm, testthat
Published: 2018-10-26
DOI: 10.32614/CRAN.package.docopulae
Author: Andreas Rappold [aut, cre]
Maintainer: Andreas Rappold <arappold at gmx.at>
BugReports: https://github.com/arappold/docopulae/issues
License: MIT + file LICENSE
URL: http://www.tandfonline.com/doi/full/10.1080/02331888.2015.1111892 https://github.com/arappold/docopulae
NeedsCompilation: yes
Materials: README NEWS
In views: ExperimentalDesign
CRAN checks: docopulae results

Documentation:

Reference manual: docopulae.pdf

Downloads:

Package source: docopulae_0.4.0.tar.gz
Windows binaries: r-devel: docopulae_0.4.0.zip, r-release: docopulae_0.4.0.zip, r-oldrel: docopulae_0.4.0.zip
macOS binaries: r-release (arm64): docopulae_0.4.0.tgz, r-oldrel (arm64): docopulae_0.4.0.tgz, r-release (x86_64): docopulae_0.4.0.tgz, r-oldrel (x86_64): docopulae_0.4.0.tgz
Old sources: docopulae 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.