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
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rodd_0.2-1.tgz(r-4.4-any)rodd_0.2-1.tgz(r-4.3-any)
rodd_0.2-1.tar.gz(r-4.5-noble)rodd_0.2-1.tar.gz(r-4.4-noble)
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rodd.pdf |rodd.html
rodd/json (API)

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

Peer review:

On CRAN:

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

2 exports 0.36 score 6 dependencies 1 mentions 3 scripts 144 downloads

Last updated 9 years agofrom:349f14bfb4. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-winOKSep 14 2024
R-4.5-linuxOKSep 14 2024
R-4.4-winOKSep 14 2024
R-4.4-macOKSep 14 2024
R-4.3-winOKSep 14 2024
R-4.3-macOKSep 14 2024

Exports:KLopt.lnormtpopt

Dependencies:latticeMatrixmatrixcalcnumDerivquadprogrootSolve