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 gmail.com> |
License: | GPL-3 |
URL: | https://CRAN.R-project.org/package=SCBmeanfd |
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: SCBmeanfd_1.2.2.zip, r-release: SCBmeanfd_1.2.2.zip, r-oldrel: SCBmeanfd_1.2.2.zip |
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 |
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