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gmtFD  

General Multiple Tests for Univariate and Multivariate Functional Data
View on CRAN: Click here


Download and install gmtFD package within the R console
Install from CRAN:
install.packages("gmtFD")

Install from Github:
library("remotes")
install_github("cran/gmtFD")

Install by package version:
library("remotes")
install_version("gmtFD", "0.1.0")



Attach the package and use:
library("gmtFD")
Maintained by
Lukasz Smaga
[Scholar Profile | Author Map]
First Published: 2024-06-10
Latest Update: 2024-06-10
Description:
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.
How to cite:
Lukasz Smaga (2024). gmtFD: General Multiple Tests for Univariate and Multivariate Functional Data. R package version 0.1.0, https://cran.r-project.org/web/packages/gmtFD. Accessed 21 Feb. 2025.
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