Learn R Programming

gmfd (version 1.0.1)

Inference and Clustering of Functional Data

Description

Some methods for the inference and clustering of univariate and multivariate functional data, using a generalization of Mahalanobis distance, along with some functions useful for the analysis of functional data. For further details, see Martino A., Ghiglietti, A., Ieva, F. and Paganoni A. M. (2017) .

Copy Link

Version

Install

install.packages('gmfd')

Monthly Downloads

134

Version

1.0.1

License

GPL-3

Maintainer

Andrea Martino

Last Published

April 6th, 2018

Functions in gmfd (1.0.1)

funData

S3 Class for functional datasets. A class for univariate or multivariate functional dataset.
gmfd_diss

Dissimilarity matrix function
plot.funData

A method to plot funData objects
funDist

Distance function
gmfd_simulate

Simulation of a functional sample
gmfd_test

Two-sample hypotesis tests
gmfd_kmeans

k-means clustering algorithm