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fPASS: Power and Sample Size for Projection Test under Repeated Measures
Computes the power and sample size (PASS) required to test for the difference in the mean function between two groups under a repeatedly measured longitudinal or sparse functional design. See the manuscript by Koner and Luo (2023) <https://salilkoner.github.io/assets/PASS_manuscript.pdf> for details of the PASS formula and computational details. The details of the testing procedure for univariate and multivariate response are presented in Wang (2021) <doi:10.1214/21-EJS1802> and Koner and Luo (2023) <arXiv:2302.05612> respectively.
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Package details |
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| Author | Salil Koner [aut, cre, cph] (<https://orcid.org/0000-0003-1952-4210>), Sheng Luo [ctb, fnd] |
| Maintainer | Salil Koner <salil.koner@duke.edu> |
| License | MIT + file LICENSE |
| Version | 1.0.0 |
| URL | https://github.com/SalilKoner/fPASS |
| Package repository | View on CRAN |
| Installation |
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