fda (R)

fda: Functional Data Analysis , These functions were developed to support functional data analysis as described in Ramsay, J. O. and Silverman, B. W. (2005) Functional Data Analysis. New York: Springer. They were ported from earlier versions in Matlab and S-PLUS. An introduction appears in Ramsay, J. O., Hooker, Giles, and Graves, Spencer (2009) Functional Data Analysis with R and Matlab (Springer). The package includes data sets and script files working many examples including all but one of the 76 figures in this latter book. As of this release, the R-Project is no longer distributing the Matlab versions of the functional data analysis functions and sample analyses through the CRAN distribution system. This is due to the pressure placed on storage required in the many CRAN sites by the rapidly increasing number of R packages, of which the fda package is one. The three of us involved in this package have agreed to help out this situation by switching to distributing the Matlab functions and analyses through Jim Ramsay’s ftp site at McGill University. To obtain these Matlab files, go to this site using an ftp utility: http://www.psych.mcgill.ca/misc/fda/downloads/FDAfuns/ There you find a set of .zip files containing the functions and sample analyses, as well as two .txt files giving instructions for installation and some additional information. (Source: http://cran.r-project.org/web/packages)


References in zbMATH (referenced in 1249 articles , 1 standard article )

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  1. Arnone, Eleonora; Kneip, Alois; Nobile, Fabio; Sangalli, Laura M.: Some numerical test on the convergence rates of regression with differential regularization (2020)
  2. Barinder Thind, Sidi Wu, Richard Groenewald, Jiguo Cao: FuncNN: An R Package to Fit Deep Neural Networks Using Generalized Input Spaces (2020) arXiv
  3. Basellini, Ugofilippo; Kjærgaard, Søren; Camarda, Carlo Giovanni: An age-at-death distribution approach to forecast cohort mortality (2020)
  4. Bongiorno, E. G.; Goia, A.; Vieu, P.: Estimating the complexity index of functional data: some asymptotics (2020)
  5. Bouzebda, Salim; Nemouchi, Boutheina: Uniform consistency and uniform in bandwidth consistency for nonparametric regression estimates and conditional (U)-statistics involving functional data (2020)
  6. Cheng, Yafeng; Shi, Jian Qing; Eyre, Janet: Nonlinear mixed-effects scalar-on-function models and variable selection (2020)
  7. Chen, Yaqing; Dawson, Matthew; Müller, Hans-Georg: Rank dynamics for functional data (2020)
  8. Dai, Wenlin; Mrkvička, Tomáš; Sun, Ying; Genton, Marc G.: Functional outlier detection and taxonomy by sequential transformations (2020)
  9. Darabi, Nadiyeh; Hosseini-Nasab, S. Mohammad E.: Projection-based classification for functional data (2020)
  10. Delsol, Laurent; Goia, Aldo: Pseudo-metrics as interesting tool in nonparametric functional regression (2020)
  11. Delsol, Laurent; Goia, Aldo: Testing a specification form in single functional index model (2020)
  12. De Pinedo, Álvaro Rollón; Couplet, Mathieu; Marie, Nathalie; Marrel, Amandine; Merle-Lucotte, Elsa; Sueur, Roman: Functional outlier detection through probabilistic modelling (2020)
  13. Derrar, Saliha; Laksaci, Ali; Saïd, Elias Ould: (M)-estimation of the regression function under random left truncation and functional time series model (2020)
  14. Dette, Holger; Kokot, Kevin; Aue, Alexander: Functional data analysis in the Banach space of continuous functions (2020)
  15. Estévez-Pérez, Graciela; Vieu, Philippe: A new method for ordering functional data and its application to diagnostic test (2020)
  16. Fang, Kuangnan; Zhang, Xiaochen; Ma, Shuangge; Zhang, Qingzhao: Smooth and locally sparse estimation for multiple-output functional linear regression (2020)
  17. Fontana, Matteo; Vantini, Simone; Tavoni, Massimo; Gammerman, Alexander: A conformal approach for distribution-free prediction of functional data (2020)
  18. Fontanella, Lara; Fontanella, Sara; Ignaccolo, Rosaria; Ippoliti, Luigi; Valentini, Pasquale: G-Lasso network analysis for functional data (2020)
  19. Gao, Yuan; Shang, Han Lin; Yang, Yanrong: Modelling functional data with high-dimensional error structure (2020)
  20. García-Portugués, Eduardo; Álvarez-Liébana, Javier; Álvarez-Pérez, Gonzalo; González-Manteiga, Wenceslao: Goodness-of-fit tests for functional linear models based on integrated projections (2020)

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