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:Catherine Hurley [aut, cre], Mark OConnell [aut], Katarina Domijan [aut]

condvis2_0.1.2.tar.gz
condvis2_0.1.2.zip(r-4.7)condvis2_0.1.2.zip(r-4.6)condvis2_0.1.2.zip(r-4.5)
condvis2_0.1.2.tgz(r-4.6-any)condvis2_0.1.2.tgz(r-4.5-any)
condvis2_0.1.2.tar.gz(r-4.7-any)condvis2_0.1.2.tar.gz(r-4.6-any)
condvis2_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
condvis2/json (API)

# 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/docs site:https://cbhurley.github.io

On CRAN:

Conda:

6.00 score 6 stars 1 packages 22 scripts 384 downloads 21 exports 62 dependencies

Last updated from:60c370cb27. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK201
source / vignettesOK240
linux-release-x86_64OK202
macos-release-arm64OK179
macos-oldrel-arm64OK116
windows-develOK213
windows-releaseOK132
windows-oldrelOK162
wasm-releaseOK150

Exports:alongPathcentroidPathclaraPathconditionPlotcondvisCVpredictdiffitsPathhiresponsePathkmeansPathlofPathloresponsePathmedoidmedoidPathpamPathpathInterpolateplotTourDiagnosticsrandomPathsectionPlotseqPathsimilarityweightweightcolor

Dependencies:base64encbslibcacachemcliclustercodetoolscolorspacecommonmarkcpp11DendSerdigestfarverfastmapfontawesomeforeachfsgclusggplot2gluegowergtablehtmltoolshttpuvisobanditeratorsjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimenlmeotelpermuteplyrpromisesqapR6rappdirsRColorBrewerRcppregistryrlangS7sassscalesseriationshinysourcetoolsTSPvctrsveganviridisLitewithrxtable

Introduction to condvis2
Ozone data | Two section variables | Comparing two fits | Confidence intervals | Tour controls | Example : A density estimate | References

Last update: 2021-04-07
Started: 2018-12-04

Exploring keras models with condvis2
Classification: | Tour controls | Regression:

Last update: 2021-04-07
Started: 2018-12-12

Exploring model-based clustering with condvis2
Classification: MclustDA | Density estimation | Clustering example

Last update: 2021-04-07
Started: 2018-12-06

mlr fits and condvis2
Regression | Classification | Clustering

Last update: 2021-04-07
Started: 2019-07-19

parsnip fits and condvis2
Regression | Classification | Survival | Clustering

Last update: 2021-04-07
Started: 2019-07-19

Readme and manuals

Help Manual

Help pageTopics
Constructs tours of data space based on centers of clusterscentroidPath claraPath clusPath kmeansPath medoidPath pamPath
Plots a conditionPlot.conditionPlot
Creates Condvis Shiny appcondvis
A predict generic function for condvisCVpredict 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 datamedoid
InterpolationpathInterpolate pathInterpolate.data.frame pathInterpolate.default pathInterpolate.factor
Plots diagnostics for the tour suppliedplotTourDiagnostics
Plots the main condvis displaysectionPlot
Calculate the similarity weight for a set of observationssimilarityweight
Constructs a various tours of data spacealongPath randomPath seqPath tours
Fade colours according to a weight vectorweightcolor