hcastel1/IMVA_Package: Interactive Exploratory Multivariate Analysis Shiny app

This app was inspired by the FactoShiny package which implements multivariate analysis (unsupervised learning / data mining) methods: Principal Component Analysis, Cluster Analysis and Multiple Correspondence Analysis from the FactoMineR package in a shiny application. In turn, this app implements multivariate analysis methods from the FactoMineR package with interactive output plots and data objects in addition to reactivity from user inputs typical of a shiny app.

install.packages("remotes")
remotes::install_github("hcastel1/IMVA_Package")