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 |
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 |
Reference manual: | docopulae.pdf |
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: docopulae_0.4.0.tgz, r-oldrel: docopulae_0.4.0.tgz |
Old sources: | docopulae archive |
Please use the canonical form https://CRAN.R-project.org/package=docopulae to link to this page.