Package: powerPLS 0.1.0

powerPLS: Power Analysis for PLS Classification

It estimates power and sample size for Partial Least Squares-based methods described in Andreella, et al., (2024) <arxiv:2403.10289>.

Authors:Angela Andreella [aut, cre]

powerPLS_0.1.0.tar.gz
powerPLS_0.1.0.zip(r-4.5)powerPLS_0.1.0.zip(r-4.4)powerPLS_0.1.0.zip(r-4.3)
powerPLS_0.1.0.tgz(r-4.4-any)powerPLS_0.1.0.tgz(r-4.3-any)
powerPLS_0.1.0.tar.gz(r-4.5-noble)powerPLS_0.1.0.tar.gz(r-4.4-noble)
powerPLS_0.1.0.tgz(r-4.4-emscripten)powerPLS_0.1.0.tgz(r-4.3-emscripten)
powerPLS.pdf |powerPLS.html✨
powerPLS/json (API)

# Install 'powerPLS' in R:
install.packages('powerPLS', repos = c('https://angeella.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/angeella/powerpls/issues

Datasets:

On CRAN:

11 exports 1.39 score 29 dependencies 2 scripts 151 downloads

Last updated 13 days agofrom:bd61f0de10. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-winOKSep 05 2024
R-4.5-linuxOKSep 05 2024
R-4.4-winOKSep 05 2024
R-4.4-macOKSep 05 2024
R-4.3-winOKSep 05 2024
R-4.3-macOKSep 05 2024

Exports:computePowercomputeSampleSizecomputeWTIDAmccTestPLScptPLScR2TestscoreTestsim_XYsimulatePilotData

Dependencies:bayesmcodetoolscompositionsDEoptimRFKSUMFNNforeachiteratorskernlabKernSmoothkslatticeMASSMatrixmclustmgcvmulticoolmvtnormnipalsnlmepracmarARPACKRcppRcppArmadilloRcppEigenrobustbaseRSpectrasimukdetensorA