Functional Data Analysis with R and MATLAB

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Extensions of some classical methods in change point analysis (2014, methodology): “Many techniques for creating functional data objects from a discrete collection of points have been implemented in the fda package within R, see Ramsay et al. (2009) for details. To create functional data objects from the temperature data, we used the fda package to approximately interpolate the dat”
Testing the Equality of Covariance Operators in Functional Samples (2011, background): “The books by Ramsay & Silverman (2005) and Ramsay et al. (2009) offer comprehensive introductions to the subject, the collection Ferraty & Romain (2011) reviews some recent developments focusing on advances in the relevant theory, while the monographs of Bosq (2000), Ferraty & Vieu (2006) and…”
Selected statistical methods of data analysis for multivariate functional data (2018, methodology): “We used the R package fda (Ramsay et al. 2009) to create Fourier system and in order to convert raw data into a functional object.”
A statistical method for estimating predictable differences between daily traffic flow profiles (2017, background): “These residuals are assumed to be statistically independent (Ramsay et al., 2009, p60).”