CRAN/E | fPASS

fPASS

Power and Sample Size for Projection Test under Repeated Measures

Installation

About

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) 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) respectively.

github.com/SalilKoner/fPASS
Bug report File report

Key Metrics

Version 1.0.0
Published 2023-07-19 69 days ago
Needs compilation? no
License MIT
License File
CRAN checks fPASS results

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Maintainer

Maintainer

Salil Koner

salil.koner@duke.edu

Authors

Salil Koner

aut / cre / cph

Sheng Luo

ctb / fnd

Material

README
NEWS
Reference manual
Package source

Vignettes

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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Imports

dplyr
purrr
face
magrittr
MASS
Matrix
nlme
testthat
mgcv
lifecycle
expm
gamm4
gss
rlang
stringr
utils

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