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condvis2: Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny

Constructs a shiny app function with interactive displays for conditional visualization of models, data and density functions. An extended version of package 'condvis'. Catherine B. Hurley, Mark O'Connell,Katarina Domijan (2021) <doi:10.1080/10618600.2021.1983439>.

Version: 0.1.2
Imports: shiny, RColorBrewer, ggplot2, scales, cluster, DendSer, methods, plyr, colorspace, gower
Suggests: knitr, rmarkdown, hdrcde, scagnostics, keras, kernlab, mclust, MASS, ks, mgcv, randomForest, parsnip, mlr, C50, bartMachine, BART, caret, e1071, gbm, glmnet, glmnetUtils, mlr3, nnet, rpart, tree, testthat
Published: 2022-09-14
DOI: 10.32614/CRAN.package.condvis2
Author: Catherine Hurley [aut, cre], Mark OConnell [aut], Katarina Domijan [aut]
Maintainer: Catherine Hurley <catherine.hurley at mu.ie>
BugReports: https://github.com/cbhurley/condvis2/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
URL: https://cbhurley.github.io/condvis2/, https://github.com/cbhurley/condvis2
NeedsCompilation: no
Materials: README NEWS
CRAN checks: condvis2 results

Documentation:

Reference manual: condvis2.pdf
Vignettes: Exploring keras models with condvis2
Introduction to condvis2
Exploring model-based clustering with condvis2
mlr fits and condvis2
parsnip fits and condvis2

Downloads:

Package source: condvis2_0.1.2.tar.gz
Windows binaries: r-devel: condvis2_0.1.2.zip, r-release: condvis2_0.1.2.zip, r-oldrel: condvis2_0.1.2.zip
macOS binaries: r-release (arm64): condvis2_0.1.2.tgz, r-oldrel (arm64): condvis2_0.1.2.tgz, r-release (x86_64): condvis2_0.1.2.tgz, r-oldrel (x86_64): condvis2_0.1.2.tgz
Old sources: condvis2 archive

Reverse dependencies:

Reverse imports: vivid

Linking:

Please use the canonical form https://CRAN.R-project.org/package=condvis2 to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.