fda.usc

Functional Data Analysis and Utilities for Statistical Computing

https://github.com/moviedo5/fda.usc

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (14.9%) to scientific vocabulary

Keywords

functional-data-analysis r r-package rstats
Last synced: 6 months ago · JSON representation

Repository

Functional Data Analysis and Utilities for Statistical Computing

Basic Info
Statistics
  • Stars: 13
  • Watchers: 0
  • Forks: 3
  • Open Issues: 3
  • Releases: 0
Topics
functional-data-analysis r r-package rstats
Created about 6 years ago · Last pushed 8 months ago
Metadata Files
Readme Changelog

README.md

fda.usc: Functional Data Analysis and Utilities for Statistical Computing

CRAN\_Status\_Badge Licence

Package overview

fda.usc package carries out exploratory and descriptive analysis of functional data exploring its most important features such as depth measurements or functional outliers detection, among others. It also helps to explain and model the relationship between a dependent variable and independent (regression models) and make predictions. Methods for supervised or unsupervised classification of a set of functional data regarding a feature of the data are also included. 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:

r install.packages("fda.usc")

or the latest patched version from Github with:

r library(devtools) devtools::install_github("moviedo5/fda.usc")

Issues & Feature Requests

For issues, bugs, feature requests etc. please use the Github Issues. Input is always welcome.

Documentation

A hands on introduction to can be found in the reference vignette.

Details on specific functions are in the reference manual.

Cheatsheet fda.usc reference card.

References

Febrero-Bande, M. and Oviedo de la Fuente, M. (2012). Statistical Computing in Functional Data Analysis: The R Package fda.usc. Journal of Statistical Software, 51(4):1-28. https://dx.doi.org/10.18637/jss.v051.i04

Owner

  • Name: Manuel
  • Login: moviedo5
  • Kind: user
  • Location: A Coruña
  • Company: Unviersity of A Coruña

PhD in Statistics

GitHub Events

Total
  • Watch event: 4
  • Issue comment event: 1
  • Push event: 12
Last Year
  • Watch event: 4
  • Issue comment event: 1
  • Push event: 12

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 132
  • Total Committers: 5
  • Avg Commits per committer: 26.4
  • Development Distribution Score (DDS): 0.432
Past Year
  • Commits: 28
  • Committers: 3
  • Avg Commits per committer: 9.333
  • Development Distribution Score (DDS): 0.25
Top Committers
Name Email Commits
Manuel Febrero Bande m****o@u****s 75
Manuel 4****5 36
moviedo5 m****o@u****s 18
rubenfcasal r****l@g****m 2
moviedo5 m****o@u****s 1
Committer Domains (Top 20 + Academic)
usc.es: 2 udc.es: 1

Packages

  • Total packages: 1
  • Total downloads:
    • cran 2,167 last-month
  • Total docker downloads: 45,774
  • Total dependent packages: 22
  • Total dependent repositories: 21
  • Total versions: 27
  • Total maintainers: 1
cran.r-project.org: fda.usc

Functional Data Analysis and Utilities for Statistical Computing

  • Versions: 27
  • Dependent Packages: 22
  • Dependent Repositories: 21
  • Downloads: 2,167 Last month
  • Docker Downloads: 45,774
Rankings
Dependent packages count: 3.2%
Dependent repos count: 6.1%
Downloads: 9.6%
Forks count: 12.2%
Average: 12.7%
Stargazers count: 19.3%
Docker downloads count: 25.8%
Maintainers (1)
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • MASS * depends
  • R >= 2.10 depends
  • fda * depends
  • mgcv * depends
  • splines * depends
  • doParallel * imports
  • foreach * imports
  • grDevices * imports
  • graphics * imports
  • iterators * imports
  • methods * imports
  • nlme * imports
  • parallel * imports
  • stats * imports
  • utils * imports
  • rmarkdown * suggests