Package: vdg 1.2.3

vdg: Variance Dispersion Graphs and Fraction of Design Space Plots

Facilities for constructing variance dispersion graphs, fraction- of-design-space plots and similar graphics for exploring the properties of experimental designs. The design region is explored via random sampling, which allows for more flexibility than traditional variance dispersion graphs. A formula interface is leveraged to provide access to complex model formulae. Graphics can be constructed simultaneously for multiple experimental designs and/or multiple model formulae. Instead of using pointwise optimization to find the minimum and maximum scaled prediction variance curves, which can be inaccurate and time consuming, this package uses quantile regression as an alternative.

Authors:Pieter Schoonees [aut, cre, cph], Niel le Roux [ctb]

vdg_1.2.3.tar.gz
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vdg.pdf |vdg.html
vdg/json (API)

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

Peer review:

Datasets:
  • D310 - Design from the Vdgraph package
  • D416B - Design from the Vdgraph package
  • D416C - Design from the Vdgraph package
  • GJ54 - Design from Goos & Jones
  • SCDDL5 - Design from the Vdgraph package
  • SCDH5 - Design from the Vdgraph package

On CRAN:

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

10 exports 0.09 score 34 dependencies 10 scripts 297 downloads

Last updated 5 months agofrom:036d6b8c5a. Checks:OK: 7 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 26 2024
R-4.5-win-x86_64NOTEAug 26 2024
R-4.5-linux-x86_64NOTEAug 26 2024
R-4.4-win-x86_64OKAug 26 2024
R-4.4-mac-x86_64OKAug 26 2024
R-4.4-mac-aarch64OKAug 26 2024
R-4.3-win-x86_64OKAug 26 2024
R-4.3-mac-x86_64OKAug 26 2024
R-4.3-mac-aarch64OKAug 26 2024

Exports:expmatLHSMLHSRSLHSrunif_cuberunif_spheresamplerSLHSspvstdrange

Dependencies:clicolorspacefansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmgcvmunsellnlmepillarpkgconfigproxyquantregR6RColorBrewerrlangscalesSparseMsurvivaltibbleutf8vctrsviridisLitewithr

An R package for Flexible Graphical Assessment of Experimental Designs

Rendered fromvdg.Rnwusingknitr::knitron Aug 26 2024.

Last update: 2022-07-07
Started: 2015-05-04