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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