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This package provides a tool to perform power analysis in Partial Least Squares (PLS) for classification when two classes are analyzed.
You can install the released version of powerPLS with:
The main functions are - computeSampleSize() which estimated the power considering several values of sample size and number of score components.
computePower() which estimated the power considering a fixed sample size and several number of score components.datas <- simulatePilotData(nvar = 30, clus.size = c(5,5),m = 6,nvar_rel = 5,ncomp = 2)
out <- computePower(X = datas$X, Y = datas$Y, A = 3)
out <- computeSampleSize(X = datas$X, Y = datas$Y, A = 3, n = c(10,20,30))Andreella, A., Finos, L., Scarpa, B. and Stocchero, M. “Towards a power analysis for PLS-based methods” arXiv:2403.10289 stat.ME. link: https://arxiv.org/abs/2403.10289
Please write to angela.andreella[]unive[]it or insert a reproducible example using reprex on my issue github page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.