fPASS packageSee the README on https://github.com/SalilKoner/fPASS/blob/main/README.md
Maintainer: Salil Koner salil.koner@duke.edu (ORCID) [copyright holder]
Other contributors:
Sheng Luo sheng.luo@duke.edu [contributor, funder]
R package fPASS is designed to perform the power and sample size analysis for functional under a dense and sparse (random) design and longitudinal data. The function can handle data from wide variety of covariance structure, can be parametric, or non-parametric. The user have a lot of flexibility into tweaking the arguments of the function to assess the power function of the test under different sampling design and covariance process of the response trajectory, and for any arbitrary mean difference function. Overall, the functionality of the module is quite comprehensive and includes all the different cases considered in the NCSS PASS software. We believe that this software can be an effective clinical trial design tools when considering the projection-based test as the primary decision making method.
Useful links:
See the primary function PASS_Proj_Test_ufDA() to compute
the power and sample size of the test.