SCBmeanfd: Simultaneous Confidence Bands for the Mean of Functional Data (original) (raw)
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 |
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Depends: | R (≥ 2.10), stats, graphics |
Imports: | boot, KernSmooth |
Published: | 2025-05-21 |
DOI: | 10.32614/CRAN.package.SCBmeanfd |
Author: | David Degras [aut, cre] |
Maintainer: | David Degras |
License: | GPL-3 |
URL: | https://CRAN.R-project.org/package=SCBmeanfd |
NeedsCompilation: | no |
Materials: | |
In views: | FunctionalData |
CRAN checks: | SCBmeanfd results |
Documentation:
Reference manual: | SCBmeanfd.html , <SCBmeanfd.pdf> |
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Downloads:
Package source: | SCBmeanfd_1.2.3.tar.gz |
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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 |
Linking:
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