denoisr

{denoisr} is a package to perform non-parametric smoothing for noisy curve data.

Author

Steven Golovkine

Main resources

Overview

denoisr is a package which permits to smooth (remove the noise from) functional data by, first, estimate the Hurst coefficient of the underlying generating process.

Functional data to smooth should be defined on a univariate compact, but can be irregularly sampled. denoisr can also be used only for Hurst parameter estimation.

Installation

# install.packages("devtools")
devtools::install_github("StevenGolovkine/denoisr")