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.

Author
David Degras
Date of publication
2016-10-01 14:55:08
Maintainer
David Degras <ddegrasv@gmail.com>
License
GPL-3
Version
1.2.1
URLs

View on CRAN

Man pages

cv.score
Leave-One-Curve-out Cross-Validation Score
cv.select
Cross-Validation Bandwidth Selection for Local Polynomial...
phoneme
Phoneme data
plasma
Plasma citrate data
plot.SCBand
Plot a SCBand Object
plrt.model
Pseudo-Likelihood Ratio Test for Models of the Mean Function
plugin.select
Plug-in Bandwidth Selection for Local Polynomial Estimation
print.SCBand
Print a SCBand Object
scb.equal
Compare Two Mean Functions
scb.mean
Build Simultaneous Confidence Bands for Mean Functions
SCBmeanfd-package
Simultaneous Confidence Bands for Mean Functions
scb.model
Goodness-Of-Fit of a Model for the Mean Function
summary.SCBand
Summarize a SCBand Object

Files in this package

SCBmeanfd
SCBmeanfd/NAMESPACE
SCBmeanfd/NEWS
SCBmeanfd/data
SCBmeanfd/data/phoneme.rda
SCBmeanfd/data/plasma.rda
SCBmeanfd/R
SCBmeanfd/R/scb.model.R
SCBmeanfd/R/cv.score.R
SCBmeanfd/R/SCBmeanfd-internal.R
SCBmeanfd/R/scb.equal.R
SCBmeanfd/R/plot.SCBand.R
SCBmeanfd/R/summary.SCBand.R
SCBmeanfd/R/cv.select.R
SCBmeanfd/R/plugin.select.R
SCBmeanfd/R/plrt.model.R
SCBmeanfd/R/scb.mean.R
SCBmeanfd/R/print.SCBand.R
SCBmeanfd/MD5
SCBmeanfd/DESCRIPTION
SCBmeanfd/man
SCBmeanfd/man/plrt.model.Rd
SCBmeanfd/man/plugin.select.Rd
SCBmeanfd/man/scb.mean.Rd
SCBmeanfd/man/plasma.Rd
SCBmeanfd/man/print.SCBand.Rd
SCBmeanfd/man/scb.equal.Rd
SCBmeanfd/man/cv.select.Rd
SCBmeanfd/man/scb.model.Rd
SCBmeanfd/man/plot.SCBand.Rd
SCBmeanfd/man/SCBmeanfd-package.Rd
SCBmeanfd/man/summary.SCBand.Rd
SCBmeanfd/man/phoneme.Rd
SCBmeanfd/man/cv.score.Rd