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condvis2: Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny (original) (raw)

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

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