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'. Mark O'Connell, Catherine B. Hurley, Katarina Domijan (2017) <doi:10.18637/jss.v081.i05>.

Version: 0.1.1
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, caret, e1071, gbm, glmnet, glmnetUtils, mlr3, nnet, rpart, tree, testthat
Published: 2020-09-25
Author: Catherine Hurley [aut, cre], Mark OConnell [aut], Katarina Domijan [aut]
Maintainer: Catherine Hurley <catherine.hurley at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: condvis2 results


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
Package source: condvis2_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: condvis2_0.1.1.tgz, r-oldrel: condvis2_0.1.1.tgz
Old sources: condvis2 archive


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