Package: SCBmeanfd 1.2.3

David Degras

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.

Authors:David Degras [aut, cre]

SCBmeanfd_1.2.3.tar.gz
SCBmeanfd_1.2.3.zip(r-4.7-any)SCBmeanfd_1.2.3.zip(r-4.6-any)
SCBmeanfd_1.2.3.tar.gz(r-4.7-any)SCBmeanfd_1.2.3.tar.gz(r-4.6-any)
SCBmeanfd_1.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SCBmeanfd/json (API)

# Install 'SCBmeanfd' in R:
install.packages('SCBmeanfd', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.11 score 1 stars 13 scripts 373 downloads 10 exports 2 dependencies

Last updated from:38090f5a0e. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK91
source / vignettesOK153
linux-releaseOK95
windows-develOK61
windows-releaseOK63
wasm-releaseOK85

Exports:cv.scorecv.selectplot.SCBandplrt.modelplugin.selectprint.SCBandscb.equalscb.meanscb.modelsummary.SCBand

Dependencies:bootKernSmooth