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: | 0.1.0 |
Imports: | shiny, RColorBrewer, ggplot2, scales, cluster, DendSer, methods, plyr, kmed |
Suggests: | knitr, rmarkdown, hdrcde, scagnostics, keras, kernlab, mclust, MASS, ks, mgcv, randomForest |
Published: | 2019-06-28 |
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://github.com/cbhurley/condvis2 |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | condvis2 results |
Reference manual: | condvis2.pdf |
Vignettes: |
Exploring keras models with condvis2 Introduction to condvis2 Exploring model-based clustering with condvis2 |
Package source: | condvis2_0.1.0.tar.gz |
Windows binaries: | r-devel: condvis2_0.1.0.zip, r-release: condvis2_0.1.0.zip, r-oldrel: condvis2_0.1.0.zip |
macOS binaries: | r-release: condvis2_0.1.0.tgz, r-oldrel: condvis2_0.1.0.tgz |
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