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.
- Version0.1.0
- R versionunknown
- LicenseLGPL-2
- LicenseLGPL-3
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release06/10/2024
Documentation
Team
Lukasz Smaga
Merle Munko
Show author detailsRolesAuthorMarkus Pauly
Show author detailsRolesAuthorMarc Ditzhaus
Show author detailsRolesAuthor
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