Categorical Functional Data Analysis. The cfda R Package

Categorical functional data represented by paths of a stochastic jump process with continuous time and finite set states are considered. As an extension the multiple correspondence analysis to infinite variables, optimal encodings over approximated using arbitrary basis functions. This allows dimension reduction, representation, visualisation in lower dimensional spaces. The methodology is implemented cfda R package illustrated real clustering framework.