Power and Sample Size for Projection Test under Repeated Measures [R package fPASS version 1.0.0]

Salil Koner

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) <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年07月19日

DOI: 10.32614/CRAN.package.fPASS

Author: Salil Koner ORCID iD [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

Documentation:

Reference manual: fPASS.html , fPASS.pdf

Vignettes: fPASS: An R package for Power and Sample Size analysis (PASS) for Projection-based Two-Sample test for functional data. (source, R code)

Downloads:

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-release (arm64): fPASS_1.0.0.tgz, r-oldrel (arm64): fPASS_1.0.0.tgz, r-release (x86_64): fPASS_1.0.0.tgz, r-oldrel (x86_64): fPASS_1.0.0.tgz

Linking:

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