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 |
| DOI: | 10.32614/CRAN.package.fPASS |
| 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 + fileLICENSE |
| URL: | https://github.com/SalilKoner/fPASS |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | fPASS results |