Simultaneous Confidence Bands for the Mean of Functional Data

Statistical methods for estimating and inferring the mean of functional data. The methods include simultaneous confidence bands, local polynomial fitting, bandwidth selection by plug-in and cross-validation, goodness-of-fit tests for parametric models, equality tests for two-sample problems, and plotting functions.


Version 1.2.2

  • Bug fixed in scb.equal

Version 1.2

  • Non-uniform x values are now accepted in functions scb.mean, scb.equal, and scb.model.
  • New "degree" argument in functions scb.mean, scb.equal, and scb.model (degree of local polynomial fit).
  • New "gridsize" argument in functions cv.score and (size of evaluation grid for smoothed data).

Reference manual

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1.2.2 by David Degras, 5 years ago

Browse source code at

Authors: David Degras

Documentation:   PDF Manual  

Task views: Functional Data Analysis

GPL-3 license

Imports boot, KernSmooth

Depends on stats, graphics

See at CRAN