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]

fPASS_1.0.0.9000.tar.gz
fPASS_1.0.0.9000.zip(r-4.7)fPASS_1.0.0.9000.zip(r-4.6)fPASS_1.0.0.9000.zip(r-4.5)
fPASS_1.0.0.9000.tgz(r-4.6-any)fPASS_1.0.0.9000.tgz(r-4.5-any)
fPASS_1.0.0.9000.tar.gz(r-4.7-any)fPASS_1.0.0.9000.tar.gz(r-4.6-any)
fPASS_1.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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

On CRAN:

Conda:

3.70 score 3 scripts 199 downloads 8 exports 53 dependencies

Last updated from:9798fd57da. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK206
source / vignettesOK354
linux-release-x86_64OK206
macos-release-arm64OK270
macos-oldrel-arm64OK209
windows-develOK150
windows-releaseOK158
windows-oldrelOK176
wasm-releaseOK153

Exports:%>%Extract_Eigencomp_fDAfpca_scPASS_Proj_Test_ufDApHotellingTPower_Proj_Test_ufDASim_HotellingT_unequal_varSum_of_Wishart_df

Dependencies:bootbriocallrclicrayondescdiffobjdplyrevaluateexpmfacefsgamm4genericsgluegssjsonlitelatticelifecyclelme4magrittrMASSMatrixmatrixcalcmgcvminqanlmenloptrpillarpkgbuildpkgconfigpkgloadpraiseprocessxpspurrrR6rbibutilsRcppRcppEigenRdpackreformulasrlangrprojrootstringistringrtestthattibbletidyselectutf8vctrswaldowithr

fPASS: An R package for Power and Sample Size analysis (PASS) for Projection-based Two-Sample test for functional data.

Rendered fromfPASS.Rmdusingknitr::rmarkdownon May 08 2026.

Last update: 2023-07-17
Started: 2023-07-09