condvis2: Conditional Visualization for Statistical Models

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

Downloads:

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-prerelease: condvis2_0.1.0.zip, r-release: condvis2_0.1.0.zip, r-oldrel: condvis2_0.1.0.zip
macOS binaries: r-prerelease: condvis2_0.1.0.tgz, r-release: condvis2_0.1.0.tgz, r-oldrel: condvis2_0.1.0.tgz

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