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-4.7-any)condvis_0.5-1.zip(r-4.6-any)condvis_0.5-1.zip(r-4.5-any)
condvis_0.5-1.tgz(r-4.6-any)condvis_0.5-1.tgz(r-4.5-any)
condvis_0.5-1.tar.gz(r-4.7-any)condvis_0.5-1.tar.gz(r-4.6-any)
condvis_0.5-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
condvis/json (API)

# 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:

Conda:

modelsstatisticsvisualization

4.43 score 20 stars 27 scripts 471 downloads 12 exports 1 dependencies

Last updated from:118c90ae60. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE139
source / vignettesOK171
linux-releaseNOTE125
macos-releaseNOTE153
macos-oldrelNOTE224
windows-develNOTE67
windows-releaseNOTE82
windows-oldrelNOTE75
wasm-releaseOK97

Exports:arrangeCceplotcondtourcont2colordist1factor2colorinterpolatemakepathplotxcplotxssavingby2dsimilarityweight

Dependencies:MASS