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gmfd  

Inference and Clustering of Functional Data
View on CRAN: Click here


Download and install gmfd package within the R console
Install from CRAN:
install.packages("gmfd")

Install from Github:
library("remotes")
install_github("cran/gmfd")

Install by package version:
library("remotes")
install_version("gmfd", "1.0.1")



Attach the package and use:
library("gmfd")
Maintained by
Andrea Martino
[Scholar Profile | Author Map]
First Published: 2017-12-18
Latest Update: 2018-04-06
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) .
How to cite:
Andrea Martino (2017). gmfd: Inference and Clustering of Functional Data. R package version 1.0.1, https://cran.r-project.org/web/packages/gmfd. Accessed 06 Apr. 2025.
Previous versions and publish date:
1.0 (2017-12-18 13:03)
Other packages that cited gmfd R package
View gmfd citation profile
Other R packages that gmfd depends, imports, suggests or enhances
Complete documentation for gmfd
Functions, R codes and Examples using the gmfd R package
Some associated functions: funData . funDist . gmfd_diss . gmfd_kmeans . gmfd_simulate . gmfd_test . plot.funData . 
Some associated R codes: distance.R . funData.R . kmeans.R . simulation.R . test.R . utils.R .  Full gmfd package functions and examples
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