SCBmeanfd-package: Simultaneous Confidence Bands for Mean Functions
In SCBmeanfd: Simultaneous Confidence Bands for the Mean of Functional Data

Description Details Author(s) References

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.

Package:	SCBmeanfd
Type:	Package
Version:	1.2.1
Date:	2016-09-24
License:	GPL-3

David Degras <ddegrasv@gmail.com>

Azzalini, A. and Bowman, A. (1993). On the use of nonparametric regression for checking linear relationships. Journal of the Royal Statistical Society. Series B 55, 549-557.

Benhenni, K. and Degras, D. (2014). Local polynomial estimation of the mean function and its derivatives based on functional data and regular designs. ESAIM: Probability and Statistics 18, 881-899.

Degras, D. (2011). Simultaneous confidence bands for nonparametric regression with functional data. Statistica Sinica 21, 1735-1765.

Rice, J. A. and Silverman, B. W. (1991). Estimating the mean and covariance structure nonparametrically when the data are curves. Journal of the Royal Statistical Society. Series B 53, 233-243.

SCBmeanfd documentation built on May 2, 2019, 4:19 a.m.