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gmfd
View on CRAN: Click
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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
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All associated links for this package
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 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:44), 1.0 (2017-12-18 13:03)
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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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