Package overview
fda.usc package carries out exploratory anddescriptive analysis of functional data exploring its most importantfeatures such as depth measurements or functional outliers detection,among others. It also helps to explain and model the relationshipbetween a dependent variable and independent (regression models) andmake predictions. Methods for supervised or unsupervised classificationof a set of functional data regarding a feature of the data are alsoincluded. It can perform functional ANOVA, hypothesis testing,functional response models and many others.
Installation
You can install the current fda.usc version from CRAN with:
install.packages("fda.usc")or the latest patched version from Github with:
library(devtools)devtools::install_github("moviedo5/fda.usc")Issues & Feature Requests
For issues, bugs, feature requests etc. please use theGithub Issues.Input is always welcome.
Documentation
A hands on introduction to can be found in the referencevignette.
Details on specific functions are in thereferencemanual.
Cheatsheetfda.uscreference card.
References
Febrero-Bande, M. and Oviedo de la Fuente, M. (2012). StatisticalComputing in Functional Data Analysis: The R Package fda.usc.Journal of Statistical Software, 51(4):1-28.DOI:10.18637/jss.v051.i04
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