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-4.5)rodd_0.2-1.zip(r-4.4)rodd_0.2-1.zip(r-4.3)
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)
rodd_0.2-1.tgz(r-4.4-emscripten)rodd_0.2-1.tgz(r-4.3-emscripten)
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.

1.00 score 3 scripts 156 downloads 1 mentions 2 exports 6 dependencies

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

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winOKNov 13 2024
R-4.5-linuxOKNov 13 2024
R-4.4-winOKNov 13 2024
R-4.4-macOKNov 13 2024
R-4.3-winOKNov 13 2024
R-4.3-macOKNov 13 2024

Exports:KLopt.lnormtpopt

Dependencies:latticeMatrixmatrixcalcnumDerivquadprogrootSolve