Package: gmtFD 0.1.0

Lukasz Smaga

gmtFD: General Multiple Tests for Univariate and Multivariate Functional Data

The multiple contrast tests for univariate were proposed by Munko, Ditzhaus, Pauly, Smaga, and Zhang (2023) <doi:10.48550/arXiv.2306.15259>. Recently, they were extended to the multivariate functional data in Munko, Ditzhaus, Pauly, and Smaga (2024) <doi:10.48550/arXiv.2406.01242>. These procedures enable us to evaluate the overall hypothesis regarding equality, as well as specific hypotheses defined by contrasts. In particular, we can perform post hoc tests to examine particular comparisons of interest. Different experimental designs are supported, e.g., one-way and multi-way analysis of variance for functional data.

Authors:Marc Ditzhaus [aut], Merle Munko [aut], Markus Pauly [aut], Lukasz Smaga [aut, cre]

gmtFD_0.1.0.tar.gz
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gmtFD.pdf |gmtFD.html✨
gmtFD/json (API)

# Install 'gmtFD' in R:
install.packages('gmtFD', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.00 score 169 downloads 2 exports 57 dependencies

Last updated 7 months agofrom:6ffcfebeb8. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 08 2024
R-4.5-linux-x86_64OKDec 08 2024

Exports:gmtFDph_test_statistic

Dependencies:ashbitopscliclustercodetoolscolorspacedeSolvedoParallelfansifarverfdafdsFNNforeachGFDmcvggplot2gluegtablehdrcdeHSAURisobanditeratorskernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRcppArmadilloRCurlrlangscalesstringistringrtibbleutf8vctrsviridisLitewithr