Package: fPASS 1.0.0.9000
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) <arxiv:2302.05612> respectively.
Authors:
fPASS_1.0.0.9000.tar.gz
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fPASS.pdf |fPASS.html✨
fPASS/json (API)
NEWS
| # Install 'fPASS' in R: |
| install.packages('fPASS', repos = c('https://salilkoner.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/salilkoner/fpass/issues
Last updated 1 years agofrom:9798fd57da. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-win | OK | Nov 04 2024 |
| R-4.5-linux | OK | Nov 04 2024 |
| R-4.4-win | OK | Nov 04 2024 |
| R-4.4-mac | OK | Nov 04 2024 |
| R-4.3-win | OK | Nov 04 2024 |
| R-4.3-mac | OK | Nov 04 2024 |
Exports:%>%Extract_Eigencomp_fDAfpca_scPASS_Proj_Test_ufDApHotellingTPower_Proj_Test_ufDASim_HotellingT_unequal_varSum_of_Wishart_df
Dependencies:bootbriocallrclicrayondescdiffobjdigestdplyrevaluateexpmfacefansifsgamm4genericsgluegssjsonlitelatticelifecyclelme4magrittrMASSMatrixmatrixcalcmgcvminqanlmenloptrpillarpkgbuildpkgconfigpkgloadpraiseprocessxpspurrrR6RcppRcppEigenrematch2rlangrprojrootstringistringrtestthattibbletidyselectutf8vctrswaldowithr
