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 |
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 |
Reference manual: | fPASS.pdf |
Vignettes: |
fPASS: An R package for Power and Sample Size analysis (PASS) for Projection-based Two-Sample test for functional data. |
Package source: | fPASS_1.0.0.tar.gz |
Windows binaries: | r-devel: fPASS_1.0.0.zip, r-release: fPASS_1.0.0.zip, r-oldrel: fPASS_1.0.0.zip |
macOS binaries: | r-devel (arm64): fPASS_1.0.0.tgz, r-release (arm64): fPASS_1.0.0.tgz, r-oldrel (arm64): fPASS_1.0.0.tgz, r-devel (x86_64): fPASS_1.0.0.tgz, r-release (x86_64): fPASS_1.0.0.tgz, r-oldrel (x86_64): fPASS_1.0.0.tgz |
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