Package: SCBmeanfd 1.2.2

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

SCBmeanfd_1.2.2.tar.gz
SCBmeanfd_1.2.2.tar.gz(r-4.5-noble)SCBmeanfd_1.2.2.tar.gz(r-4.4-noble)
SCBmeanfd_1.2.2.tgz(r-4.4-emscripten)SCBmeanfd_1.2.2.tgz(r-4.3-emscripten)
SCBmeanfd.pdf |SCBmeanfd.html
SCBmeanfd/json (API)
NEWS

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

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 206 downloads 10 exports 2 dependencies

Last updated 8 years agofrom:85c7ed88a4. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 18 2025
R-4.5-linuxOKFeb 18 2025

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

Dependencies:bootKernSmooth