Changelog
Source:NEWS.md
FLORAL (development version)
Improves stability when fitting Fine-Gray model with longitudinal covariates.
Enables parallel computation for cross-validation.
Fixes several bugs as reported in Issues.
FLORAL 0.2.0
CRAN release: 2023-07-05
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 weighta
for a fixed cross-validation setting. (0.1.0.9001)