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SCBmeanfd (version 1.2.2)

Simultaneous Confidence Bands for the Mean of Functional Data

Description

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.

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Version

Install

install.packages('SCBmeanfd')

Monthly Downloads

562

Version

1.2.2

License

GPL-3

Maintainer

David Degras

Last Published

December 27th, 2016

Functions in SCBmeanfd (1.2.2)

cv.select

Cross-Validation Bandwidth Selection for Local Polynomial Estimation
plrt.model

Pseudo-Likelihood Ratio Test for Models of the Mean Function
scb.mean

Build Simultaneous Confidence Bands for Mean Functions
phoneme

Phoneme data
plot.SCBand

Plot a SCBand Object
plugin.select

Plug-in Bandwidth Selection for Local Polynomial Estimation
cv.score

Leave-One-Curve-out Cross-Validation Score
scb.equal

Compare Two Mean Functions
print.SCBand

Print a SCBand Object
plasma

Plasma citrate data
scb.model

Goodness-Of-Fit of a Model for the Mean Function
SCBmeanfd-package

Simultaneous Confidence Bands for Mean Functions
summary.SCBand

Summarize a SCBand Object