In StevenGolovkine/funestim: Nonparametric Kernel Smoothing Methods for Functional Data

knitr::opts_chunk$set(
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funestim

funestim is an R-package that allows users to estimate the mean and the covariance of a functional dataset using an estimation of the regularity of the curves. The curves can be irregularly sampled.

Installation

To install the latest version directly from GitHub, please use

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

To build the vignette as well, please use

# install.packages("devtools")
devtools::install_github("StevenGolovkine/funestim", build_vignettes = TRUE)

Dependencies

The funestim package depends on the R-packages dplyr, fdapace, funData, gss, KernSmooth, magrittr, MASS, purrr, Rcpp and RcppArmadillo, tidyr,

References

The theoretical foundations of the estimation of the mean and covariance functions are described in:

Golovkine S., Klutchnikoff N., Patilea V. (2021) - Adaptive estimation of irregular mean and covariance functions.

Bug reports

Please use GitHub issues for reporting bugs or issues.

StevenGolovkine/funestim documentation built on June 15, 2022, 3:42 a.m.