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fPASS  

Power and Sample Size for Projection Test under Repeated Measures
View on CRAN: Click here


Download and install fPASS package within the R console
Install from CRAN:
install.packages("fPASS")

Install from Github:
library("remotes")
install_github("cran/fPASS")

Install by package version:
library("remotes")
install_version("fPASS", "1.0.0")



Attach the package and use:
library("fPASS")
Maintained by
Salil Koner
[Scholar Profile | Author Map]
First Published: 2023-07-19
Latest Update: 2023-07-19
Description:
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) 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) and Koner and Luo (2023) respectively.
How to cite:
Salil Koner (2023). fPASS: Power and Sample Size for Projection Test under Repeated Measures. R package version 1.0.0, https://cran.r-project.org/web/packages/fPASS. Accessed 07 May. 2025.
Previous versions and publish date:
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Complete documentation for fPASS
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