funStatTest: Statistical Testing for Functional Data

Implementation of two sample comparison procedures based on median-based statistical tests for functional data, introduced in Smida et al (2022) <doi:10.1080/10485252.2022.2064997>. Other competitive state-of-the-art approaches proposed by Chakraborty and Chaudhuri (2015) <doi:10.1093/biomet/asu072>, Horvath et al (2013) <doi:10.1111/j.1467-9868.2012.01032.x> or Cuevas et al (2004) <doi:10.1016/j.csda.2003.10.021> are also included in the package, as well as procedures to run test result comparisons and power analysis using simulations.

Version: 1.0.3
Imports: checkmate, distr, dplyr, ggplot2, magrittr, Matrix, pbapply, stats, stringr, tibble, tidyr, tidyselect, utils
Suggests: knitr, rmarkdown, testthat, vdiffr
Published: 2024-05-23
Author: Zaineb Smida ORCID iD [aut], Ghislain Durif ORCID iD [aut, cre], Lionel Cucala [aut]
Maintainer: Ghislain Durif < at>
License: AGPL (≥ 3)
NeedsCompilation: no
Materials: README
CRAN checks: funStatTest results


Reference manual: funStatTest.pdf
Vignettes: Getting started with functional statistical testing


Package source: funStatTest_1.0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): funStatTest_1.0.3.tgz, r-oldrel (arm64): funStatTest_1.0.3.tgz, r-release (x86_64): funStatTest_1.0.3.tgz, r-oldrel (x86_64): funStatTest_1.0.3.tgz
Old sources: funStatTest archive


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