Warping Functional Data in R and C via a Bayesian Multiresolution Approach

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Authors Leen Slaets, Gerda Claeskens, Bernard W. Silverman
Journal/Conference Name Journal of Statistical Software
Paper Category
Paper Abstract Phase variation in functional data obscures the true amplitude variation when a typical cross-sectional analysis of these responses would be performed. Time warping or curve registration aims at eliminating the phase variation, typically by applying transformations, the warping functions ?n, to the function arguments. We propose a warping method that jointly estimates a decomposition of the warping function in warping components, and amplitude components. For the estimation routine, adaptive MCMC calculations are performed and implemented in C rather than R to increase computational speed. The R-C interface makes the program user-friendly, in that no knowledge of C is required and all input and output will be handled through R. The R package MRwarping contains all needed files.
Date of publication 2010
Code Programming Language R

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