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.

Documentation

Manual: docopulae.pdf
Vignette: None available.

Maintainer: Andreas Rappold <arappold at gmx.at>

Author(s): Andreas Rappold*

Install package and any missing dependencies by running this line in your R console:

install.packages("docopulae")

Depends R (>= 3.1.2)
Imports graphics, grDevices, methods, stats, utils
Suggests copula, numDeriv, Deriv(>=3.6.1), cubature, SparseGrid, mvtnorm, testthat
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Package docopulae
Materials
URL http://www.tandfonline.com/doi/full/10.1080/02331888.2015.1111892 https://github.com/arappold/docopulae
Task Views ExperimentalDesign
Version 0.3.3
Published 2016-06-23
License MIT + file LICENSE
BugReports https://github.com/arappold/docopulae/issues
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks docopulae check results
Package source docopulae_0.3.3.tar.gz