SCBmeanfd: Simultaneous Confidence Bands for the Mean of Functional Data

This package implements statistical methods for estimating and inferring the mean of functional data. The methods are based on simultaneous confidence bands and local polynomial fitting. They feature: 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: 1.1
Depends: R (≥ 2.10), stats, graphics
Imports: boot, KernSmooth
Published: 2014-02-01
Author: David Degras
Maintainer: David Degras <ddegrasv at>
License: GPL-3
NeedsCompilation: no
CRAN checks: SCBmeanfd results


Reference manual: SCBmeanfd.pdf
Package source: SCBmeanfd_1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: SCBmeanfd_1.1.tgz, r-oldrel: SCBmeanfd_1.1.tgz
OS X Mavericks binaries: r-release: SCBmeanfd_1.1.tgz
Old sources: SCBmeanfd archive