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
powerPLS_0.2.0.zip(r-4.5)powerPLS_0.2.0.zip(r-4.4)powerPLS_0.2.0.zip(r-4.3)
powerPLS_0.2.0.tgz(r-4.4-any)powerPLS_0.2.0.tgz(r-4.3-any)
powerPLS_0.2.0.tar.gz(r-4.5-noble)powerPLS_0.2.0.tar.gz(r-4.4-noble)
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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:

3.70 score 2 scripts 179 downloads 11 exports 29 dependencies

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

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-winWARNINGNov 09 2024
R-4.5-linuxWARNINGNov 09 2024
R-4.4-winWARNINGNov 09 2024
R-4.4-macWARNINGNov 09 2024
R-4.3-winWARNINGNov 09 2024
R-4.3-macWARNINGNov 09 2024

Exports:computePowercomputeSampleSizecomputeWTIDAmccTestPLScptPLScR2TestscoreTestsim_XYsimulatePilotData

Dependencies:bayesmcodetoolscompositionsDEoptimRFKSUMFNNforeachiteratorskernlabKernSmoothkslatticeMASSMatrixmclustmgcvmulticoolmvtnormnipalsnlmepracmarARPACKRcppRcppArmadilloRcppEigenrobustbaseRSpectrasimukdetensorA