Package: gmtFD 0.1.0
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:
gmtFD_0.1.0.tar.gz
gmtFD_0.1.0.tar.gz(r-4.5-noble)gmtFD_0.1.0.tar.gz(r-4.4-noble)
gmtFD_0.1.0.tgz(r-4.4-emscripten)gmtFD_0.1.0.tgz(r-4.3-emscripten)
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 months agofrom:6ffcfebeb8. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 08 2024 |
R-4.5-linux-x86_64 | OK | Dec 08 2024 |
Exports:gmtFDph_test_statistic
Dependencies:ashbitopscliclustercodetoolscolorspacedeSolvedoParallelfansifarverfdafdsFNNforeachGFDmcvggplot2gluegtablehdrcdeHSAURisobanditeratorskernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaR6rainbowRColorBrewerRcppRcppArmadilloRCurlrlangscalesstringistringrtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
General multiple tests for univariate and multivariate functional data | gmtFD |
Pointwise Hotelling's T^2-test statistic | ph_test_statistic |
Print "multifmanova" object | summary.multifmanova |