Package: condvis2 0.1.2
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) <10.1080/10618600.2021.1983439>.
Authors:
condvis2_0.1.2.tar.gz
condvis2_0.1.2.zip(r-4.5)condvis2_0.1.2.zip(r-4.4)condvis2_0.1.2.zip(r-4.3)
condvis2_0.1.2.tgz(r-4.5-any)condvis2_0.1.2.tgz(r-4.4-any)condvis2_0.1.2.tgz(r-4.3-any)
condvis2_0.1.2.tar.gz(r-4.5-noble)condvis2_0.1.2.tar.gz(r-4.4-noble)
condvis2_0.1.2.tgz(r-4.4-emscripten)condvis2_0.1.2.tgz(r-4.3-emscripten)
condvis2.pdf |condvis2.html✨
condvis2/json (API)
NEWS
| # Install 'condvis2' in R: |
| install.packages('condvis2', repos = c('https://cbhurley.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cbhurley/condvis2/issues
Pkgdown site:https://cbhurley.github.io
Last updated 3 years agofrom:60c370cb27. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 31 2025 |
| R-4.5-win | OK | Mar 31 2025 |
| R-4.5-mac | OK | Mar 31 2025 |
| R-4.5-linux | OK | Mar 31 2025 |
| R-4.4-win | OK | Mar 31 2025 |
| R-4.4-mac | OK | Mar 31 2025 |
| R-4.4-linux | OK | Mar 31 2025 |
| R-4.3-win | OK | Mar 31 2025 |
| R-4.3-mac | OK | Mar 31 2025 |
Exports:alongPathcentroidPathclaraPathconditionPlotcondvisCVpredictdiffitsPathhiresponsePathkmeansPathlofPathloresponsePathmedoidmedoidPathpamPathpathInterpolateplotTourDiagnosticsrandomPathsectionPlotseqPathsimilarityweightweightcolor
Dependencies:base64encbslibcacachemcliclustercodetoolscolorspacecommonmarkcrayonDendSerdigestfansifarverfastmapfontawesomeforeachfsgclusggplot2gluegowergtablehtmltoolshttpuvisobanditeratorsjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepermutepillarpkgconfigplyrpromisesqapR6rappdirsRColorBrewerRcppregistryrlangsassscalesseriationshinysourcetoolstibbleTSPutf8vctrsveganviridisLitewithrxtable
Exploring keras models with condvis2
Rendered fromKeras.Rmdusingknitr::rmarkdownon Mar 31 2025.Last update: 2021-04-07
Started: 2018-12-12
Exploring model-based clustering with condvis2
Rendered frommclust.Rmdusingknitr::rmarkdownon Mar 31 2025.Last update: 2021-04-07
Started: 2018-12-06
Introduction to condvis2
Rendered fromintroduction.Rmdusingknitr::rmarkdownon Mar 31 2025.Last update: 2021-04-07
Started: 2018-12-04
mlr fits and condvis2
Rendered frommlr.Rmdusingknitr::rmarkdownon Mar 31 2025.Last update: 2021-04-07
Started: 2019-07-19
parsnip fits and condvis2
Rendered fromparsnip.Rmdusingknitr::rmarkdownon Mar 31 2025.Last update: 2021-04-07
Started: 2019-07-19
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Constructs tours of data space based on centers of clusters | centroidPath claraPath clusPath kmeansPath medoidPath pamPath |
| Plots a conditionPlot. | conditionPlot |
| Creates Condvis Shiny app | condvis |
| A predict generic function for condvis | CVpredict CVpredict.bart CVpredict.bartMachine CVpredict.C5.0 CVpredict.cv.glmnet CVpredict.cv.glmnet.formula CVpredict.default CVpredict.densityMclust CVpredict.gbm CVpredict.glm CVpredict.glmnet CVpredict.glmnet.formula CVpredict.kde CVpredict.keras.engine.training.Model CVpredict.ksvm CVpredict.lbart CVpredict.lda CVpredict.Learner CVpredict.lm CVpredict.loess CVpredict.Mclust CVpredict.MclustDA CVpredict.MclustDR CVpredict.model_fit CVpredict.nnet CVpredict.pbart CVpredict.qda CVpredict.randomForest CVpredict.ranger CVpredict.rpart CVpredict.svm CVpredict.train CVpredict.tree CVpredict.wbart CVpredict.WrappedModel |
| Constructs tours of data space based on fits. | diffitsPath fitPath hiresponsePath lofPath loresponsePath |
| Finds medoid of data | medoid |
| Interpolation | pathInterpolate pathInterpolate.data.frame pathInterpolate.default pathInterpolate.factor |
| Plots diagnostics for the tour supplied | plotTourDiagnostics |
| Plots the main condvis display | sectionPlot |
| Calculate the similarity weight for a set of observations | similarityweight |
| Constructs a various tours of data space | alongPath randomPath seqPath tours |
| Fade colours according to a weight vector | weightcolor |
