Package: rodd 0.2-1

rodd: Optimal Discriminating Designs

A collection of functions for numerical construction of optimal discriminating designs. At the current moment T-optimal designs (which maximize the lower bound for the power of F-test for regression model discrimination), KL-optimal designs (for lognormal errors) and their robust analogues can be calculated with the package.

Authors:Roman Guchenko [aut, cre]

rodd_0.2-1.tar.gz
rodd_0.2-1.zip(r-4.7)rodd_0.2-1.zip(r-4.6)rodd_0.2-1.zip(r-4.5)
rodd_0.2-1.tgz(r-4.6-any)rodd_0.2-1.tgz(r-4.5-any)
rodd_0.2-1.tar.gz(r-4.7-any)rodd_0.2-1.tar.gz(r-4.6-any)
rodd_0.2-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rodd/json (API)

# Install 'rodd' in R:
install.packages('rodd', repos = c('https://romanguchenko.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 3 scripts 159 downloads 1 mentions 2 exports 6 dependencies

Last updated from:349f14bfb4. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK111
source / vignettesOK185
linux-release-x86_64OK117
macos-release-arm64OK226
macos-oldrel-arm64OK221
windows-develOK85
windows-releaseOK87
windows-oldrelOK77
wasm-releaseOK88

Exports:KLopt.lnormtpopt

Dependencies:latticeMatrixmatrixcalcnumDerivquadprogrootSolve