swaprinc

cranv1.0.1

Swap Principal Components into Regression Models. Obtaining accurate and stable estimates of regression coefficients can be challenging when the suggested statistical model has issues related to multicollinearity, convergence, or overfitting. One solution is to use principal component analysis (PCA) results in the regression, as discussed in Chan a

License MIT + file LICENSE0 versions1 maintainers8 deps87 weekly dl
mncube/swaprinc
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  • Low health score (36/100)
Health breakdown0 – 100
0/25
maintenance
0/20
popularity
25/25
security
9/15
maturity
2/15
community
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0
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Dependencies (8)
broombroom.mixeddplyrGifilme4magrittrrlangtidyselect
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First published · 2023-04-17 10:45:20

Last updated · 2023-04-17T09:00:02+00:00

swaprinc — Health Score 36/100 | DepScope