Package: condvis 0.5-1

condvis: Conditional Visualization for Statistical Models

Exploring fitted models by interactively taking 2-D and 3-D sections in data space.

Authors:Mark O'Connell [aut, cre], Catherine Hurley [aut], Katarina Domijan [aut], Achim Zeileis [ctb], R Core Team [ctb]

condvis_0.5-1.tar.gz
condvis_0.5-1.zip(r-4.5)condvis_0.5-1.zip(r-4.4)condvis_0.5-1.zip(r-4.3)
condvis_0.5-1.tgz(r-4.5-any)condvis_0.5-1.tgz(r-4.4-any)condvis_0.5-1.tgz(r-4.3-any)
condvis_0.5-1.tar.gz(r-4.5-noble)condvis_0.5-1.tar.gz(r-4.4-noble)
condvis_0.5-1.tgz(r-4.4-emscripten)condvis_0.5-1.tgz(r-4.3-emscripten)
condvis.pdf |condvis.html
condvis/json (API)
NEWS

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

Bug tracker:https://github.com/markajoc/condvis/issues

Datasets:
  • crab - Brockmann's crab data
  • powerplant - Tuefekci's powerplant data
  • wine - Italian wine data

On CRAN:

modelsstatisticsvisualization

4.38 score 20 stars 24 scripts 251 downloads 12 exports 1 dependencies

Last updated 6 years agofrom:118c90ae60. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 29 2025
R-4.5-winNOTEJan 29 2025
R-4.5-macNOTEJan 29 2025
R-4.5-linuxNOTEJan 29 2025
R-4.4-winNOTEJan 29 2025
R-4.4-macNOTEJan 29 2025
R-4.3-winNOTEJan 29 2025
R-4.3-macNOTEJan 29 2025

Exports:arrangeCceplotcondtourcont2colordist1factor2colorinterpolatemakepathplotxcplotxssavingby2dsimilarityweight

Dependencies:MASS