SCBmeanfd: 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: 1.2.3
Depends: R (≥ 2.10), stats, graphics
Imports: boot, KernSmooth
Published: 2025年05月21日
Author: David Degras [aut, cre]
Maintainer: David Degras <ddegrasv at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
In views: FunctionalData
CRAN checks: SCBmeanfd results

Documentation:

Reference manual: SCBmeanfd.html , SCBmeanfd.pdf

Downloads:

Package source: SCBmeanfd_1.2.3.tar.gz
Windows binaries: r-devel: SCBmeanfd_1.2.3.zip, r-release: SCBmeanfd_1.2.3.zip, r-oldrel: SCBmeanfd_1.2.3.zip
macOS binaries: r-release (arm64): SCBmeanfd_1.2.3.tgz, r-oldrel (arm64): SCBmeanfd_1.2.3.tgz, r-release (x86_64): SCBmeanfd_1.2.3.tgz, r-oldrel (x86_64): SCBmeanfd_1.2.3.tgz
Old sources: SCBmeanfd archive

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