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condvis2
View on CRAN: Click
here
Download and install condvis2 package within the R console
Install from CRAN:
install.packages("condvis2")
Install from Github:
library("remotes")
install_github("cran/condvis2")
Install by package version:
library("remotes")
install_version("condvis2", "0.1.2")
Attach the package and use:
library("condvis2")
Maintained by
Catherine Hurley
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-28
Latest Update: 2022-09-14
Description:
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) .
How to cite:
Catherine Hurley (2019). condvis2: Interactive Conditional Visualization for Supervised and Unsupervised Models in Shiny. R package version 0.1.2, https://cran.r-project.org/web/packages/condvis2. Accessed 21 Nov. 2024.
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Other R packages that condvis2 depends,
imports, suggests or enhances
Complete documentation for condvis2
Functions, R codes and Examples using
the condvis2 R package
Some associated functions: CVpredict . clusPath . conditionPlot . condvis . fitPath . medoid . pathInterpolate . plotTourDiagnostics . sectionPlot . similarityweight . tours . weightcolor .
Some associated R codes: CVpredict.R . arrangeC.R . cluspath.R . colours.R . conditionplots.R . condpath.R . createServer.R . createUI.R . diagnostics.R . fitpath.R . helper.R . sectionplot3dprobs.R . sectionplots.R . similarityweight.R . Full condvis2 package functions and examples
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