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)
<doi:10.48550/arXiv.2302.05612> respectively.
| Version: |
1.0.0 |
| Imports: |
dplyr, purrr, face, magrittr, MASS, Matrix, nlme, testthat, mgcv, lifecycle, expm, gamm4, gss, rlang, stringr, utils |
| Suggests: |
knitr, rmarkdown, Hotelling, refund, foreach |
| Published: |
2023-07-19 |
| Author: |
Salil Koner  [aut,
cre, cph],
Sheng Luo [ctb, fnd] |
| Maintainer: |
Salil Koner <salil.koner at duke.edu> |
| BugReports: |
https://github.com/SalilKoner/fPASS/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/SalilKoner/fPASS |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
fPASS results |