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)