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:

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