Package: powerPLS 0.2.0

powerPLS: Power Analysis for PLS Classification

It estimates power and sample size for Partial Least Squares-based methods described in Andreella, et al., (2024), <doi:10.48550/arXiv.2403.10289>.

Authors:Angela Andreella [aut, cre]

powerPLS_0.2.0.tar.gz
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powerPLS_0.2.0.tgz(r-4.4-any)powerPLS_0.2.0.tgz(r-4.3-any)
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powerPLS.pdf |powerPLS.html✨
powerPLS/json (API)
NEWS

# 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:

3.65 score 2 scripts 149 downloads 11 exports 29 dependencies

Last updated 4 months agofrom:ccd7f50c6e. Checks:1 OK, 6 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 08 2025
R-4.5-winWARNINGJan 08 2025
R-4.5-linuxWARNINGJan 08 2025
R-4.4-winWARNINGJan 08 2025
R-4.4-macWARNINGJan 08 2025
R-4.3-winWARNINGJan 08 2025
R-4.3-macWARNINGJan 08 2025

Exports:computePowercomputeSampleSizecomputeWTIDAmccTestPLScptPLScR2TestscoreTestsim_XYsimulatePilotData

Dependencies:bayesmcodetoolscompositionsDEoptimRFKSUMFNNforeachiteratorskernlabKernSmoothkslatticeMASSMatrixmclustmgcvmulticoolmvtnormnipalsnlmepracmarARPACKRcppRcppArmadilloRcppEigenrobustbaseRSpectrasimukdetensorA