funbootband: Simultaneous Prediction and Confidence Bands for Functional Data

Computes simultaneous prediction and confidence bands for densely sampled functional data on a common grid. The calibration builds on the functional bootstrap approach of Lenhoff et al. (1999) <doi:10.1016/S0966-6362(98)00043-5>; hierarchical measurement designs are motivated by Koska et al. (2023) <doi:10.1016/j.jbiomech.2023.111506>. Independent curves are resampled individually. Clustered data use an intact-subject bootstrap with equal subject weighting, and the clustered prediction target is one future curve from a new subject. Curves are represented by finite Fourier series, and an 'Rcpp' backend performs the bootstrap calibration.

install.packages("funbootband")

Try the funbootband package in your browser