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: 1.2.2
Depends: R (≥ 2.10), stats, graphics
Imports: boot, KernSmooth
Published: 2016-12-27
DOI: 10.32614/CRAN.package.SCBmeanfd
Author: David Degras
Maintainer: David Degras <ddegrasv at>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
In views: FunctionalData
CRAN checks: SCBmeanfd results


Reference manual: SCBmeanfd.pdf


Package source: SCBmeanfd_1.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SCBmeanfd_1.2.2.tgz, r-oldrel (arm64): SCBmeanfd_1.2.2.tgz, r-release (x86_64): SCBmeanfd_1.2.2.tgz, r-oldrel (x86_64): SCBmeanfd_1.2.2.tgz
Old sources: SCBmeanfd archive


Please use the canonical form to link to this page.