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Including more examples in document compared to CRAN version (0.1.0.9000)
Enables elastic net models. Users can specify the weight of lasso
penalty using argument a
. (0.1.0.9001)
Allows adding non-compositional covariates which are not constrained by the zero-sum constraint. (0.1.0.9001)
Adds a function mcv.FLORAL()
to perform multiple
runs of k-fold cross-validation to summarize selection probabilities for
features. (0.1.0.9001)
Adds a function a.FLORAL()
to compare different
choices of elastic net weight a
for a fixed
cross-validation setting. (0.1.0.9001)
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.
Health stats visible at Monitor.