ECFsup-package {ECFsup} | R Documentation |
Testing the equality of several covariance functions of functional data. Four different methods are implemented: L2-norm with W-S naive, L2-norm with W-S bias-reduced, L2-norm (Zhang 2013) <ISBN:9781439862735>, and sup-norm with resampling (Guo et al. 2017) <arXiv:1609.04232>.
The DESCRIPTION file:
Package: | ECFsup |
Type: | Package |
Title: | Equal Covariance Functions Testing by L2-Norm and Sup-Norm |
Version: | 0.1-2 |
Date: | 2017-06-16 |
Author: | Jia Guo, Bu Zhou, Jin-Ting Zhang |
Maintainer: | Bu Zhou <bu.zhou@u.nus.edu> |
Description: | Testing the equality of several covariance functions of functional data. Four different methods are implemented: L2-norm with W-S naive, L2-norm with W-S bias-reduced, L2-norm (Zhang 2013) <ISBN:9781439862735>, and sup-norm with resampling (Guo et al. 2017) <arXiv:1609.04232>. |
URL: | https://arxiv.org/abs/1609.04232 |
License: | GNU Lesser General Public License |
Imports: | Rcpp (>= 0.12.9), foreach (>= 1.4.3) |
LinkingTo: | Rcpp, RcppArmadillo |
RoxygenNote: | 6.0.1 |
Index of help topics:
ECFsup-package Equal Covariance Functions Testing by L2-Norm and Sup-Norm KSCovL2 L2-norm based test of equality of several covariance functions KSCovL2WS L2-norm test using W-S approximation for equality of several covariance functions KSCovsup Sup-norm based test of equality of several covariance functions oneSPL oneSPL of L2-norm test oneSPLL2 oneSPL of L2-norm test oneSPLmax oneSPL of sup-norm test rcpparma_L2stat Set of functions in ECPsup package
Testing equality of several covariance functions of functional data. Four different methods are implemented: L2-norm using W-S naive method, L2-norm using W-S bias-reduced method, L2-norm (ZHANG 2013, GUO et al. 2016), and sup-norm using resampling method (GUO et al. 2017). The input functional data should have been registered and presmoothed. See Ramsay and Silverman (2005) Ch.7 for registration, Zhang (2013) Ch.3 for presmoothing. Tools for preprocessing raw functional data are available in R package fda, see also Ramsay et al. (2009).
Jia Guo, Bu Zhou, Jin-Ting Zhang
Maintainer: Bu Zhou <bu.zhou@u.nus.edu>
[GUO et al. (2016)], Guo, J., Zhou, B., Zhang, J.-T. (2016). A further study of an L2-norm based test for the equality of several covariance functions. https://arxiv.org/abs/1609.04231
[GUO et al. (2017)], Guo, J., Zhou, B., Zhang, J.-T. (2017). Testing the equality of several covariance functions for functional data: a supremum-norm based test. https://arxiv.org/abs/1609.04232
[PAPARODITIS and SAPATINAS (2016)], Paparoditis, E., Sapatinas, T. (2016). Bootstrap-based testing of equality of mean functions or equality of covariance operators for functional data. Biometrika, 103, 727–733. doi: 10.1093/biomet/asw033
[RAMSAY and SILVERMAN (2005)], Ramsay, J. O., Silverman, B. W. (2005). Functional Data Analysis. Springer. doi: 10.1007/b98888
[RAMSAY et al. (2009)], Ramsay, J. O., Hooker, G., Graves, S. (2009). Functional data analysis with R and MATLAB. Springer. doi: 10.1007/978-0-387-98185-7
[ZHANG (2013)], Zhang, J.-T. (2013). Analysis of variance for functional data. CRC Press.
fdata<-list(); fdata[[1]]<-matrix(rnorm(200),20,10); fdata[[1]]<-matrix(rnorm(300),20,15); KSCovL2(fdata);KSCovsup(fdata);