fPASS

CRANfPASSMaRDI QIDQ5983405

Power and Sample Size for Projection Test under Repeated Measures

Salil Koner

Last update: 19 July 2023

Copyright license: MIT license, File License

Software version identifier: 1.0.0

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) <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) <arXiv:2302.05612> respectively.

Cites work

• Two-sample inference for sparse functional data
• Projection-based two-sample inference for sparsely observed multivariate functional data