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:Salil Koner [aut, cre, cph], Sheng Luo [ctb, fnd]

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Bug tracker:https://github.com/salilkoner/fpass/issues

On CRAN:

8 exports 0.63 score 53 dependencies 3 scripts 189 downloads

Last updated 1 years agofrom:9798fd57da. Checks:OK: 7. Indexed: yes.

Exports:%>%Extract_Eigencomp_fDAfpca_scPASS_Proj_Test_ufDApHotellingTPower_Proj_Test_ufDASim_HotellingT_unequal_varSum_of_Wishart_df

Dependencies:bootbriocallrclicrayondescdiffobjdigestdplyrevaluateexpmfacefansifsgamm4genericsgluegssjsonlitelatticelifecyclelme4magrittrMASSMatrixmatrixcalcmgcvminqanlmenloptrpillarpkgbuildpkgconfigpkgloadpraiseprocessxpspurrrR6RcppRcppEigenrematch2rlangrprojrootstringistringrtestthattibbletidyselectutf8vctrswaldowithr